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Mohamed Cheriet Character Recognition Systems


Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem. This book is written by very well-known academics who have worked in the field for many years and have made significant and lasting contributions. The book will no doubt be of value to students and practitioners. -Sargur N. Srihari, SUNY Distinguished Professor, Department of Computer Science and Engineering, and Director, Center of Excellence for Document Analysis and Recognition (CEDAR), University at Buffalo, The State University of New York «The disciplines of optical character recognition and document image analysis have a history of more than forty years. In the last decade, the importance and popularity of these areas have grown enormously. Surprisingly, however, the field is not well covered by any textbook. This book has been written by prominent leaders in the field. It includes all important topics in optical character recognition and document analysis, and is written in a very coherent and comprehensive style. This book satisfies an urgent need. It is a volume the community has been awaiting for a long time, and I can enthusiastically recommend it to everybody working in the area.» -Horst Bunke, Professor, Institute of Computer Science and Applied Mathematics (IAM), University of Bern, Switzerland In Character Recognition Systems, the authors provide practitioners and students with the fundamental principles and state-of-the-art computational methods of reading printed texts and handwritten materials. The information presented is analogous to the stages of a computer recognition system, helping readers master the theory and latest methodologies used in character recognition in a meaningful way. This book covers: * Perspectives on the history, applications, and evolution of Optical Character Recognition (OCR) * The most widely used pre-processing techniques, as well as methods for extracting character contours and skeletons * Evaluating extracted features, both structural and statistical * Modern classification methods that are successful in character recognition, including statistical methods, Artificial Neural Networks (ANN), Support Vector Machines (SVM), structural methods, and multi-classifier methods * An overview of word and string recognition methods and techniques * Case studies that illustrate practical applications, with descriptions of the methods and theories behind the experimental results Each chapter contains major steps and tricks to handle the tasks described at-hand. Researchers and graduate students in computer science and engineering will find this book useful for designing a concrete system in OCR technology, while practitioners will rely on it as a valuable resource for the latest advances and modern technologies that aren't covered elsewhere in a single book.

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Dr. Muhammad Sarfraz Computer-Aided Intelligent Recognition Techniques and Applications


Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification. This cutting-edge book draws together the latest findings of industry experts and researchers from around the globe. It is a timely guide for all those require comprehensive, state-of-the-art advice on the present status and future potential of intelligent recognition technology. Computer-Aided Intelligent Recognition Techniques and Applications: Provides the user community with systems and tools for application in a very wide range of areas, including: IT, education, security, banking, police, postal services, manufacturing, mining, medicine, multimedia, entertainment, communications, data visualization, knowledge extraction, pattern classification and virtual reality. Disseminates information in a plethora of disciplines, for example pattern recognition, AI, image processing, computer vision and graphics, neural networks, cryptography, fuzzy logic, databases, evolutionary algorithms, shape and numerical analysis. Illustrates all theory with real-world examples and case studies. This valuable resource is essential reading for computer scientists, engineers, and consultants requiring up-to-date comprehensive guidance on the latest developments in computer-aided intelligent recognition techniques and applications. Its detailed, practical approach will be of interest to senior undergraduate and graduate students as well as researchers and industry experts in the field of intelligent recognition.

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Antonio Peinado Speech Recognition Over Digital Channels


Automatic speech recognition (ASR) is a very attractive means for human-machine interaction. The degree of maturity reached by speech recognition technologies during recent years allows the development of applications that use them. In particular, ASR shows an enormous potential in mobile environments, where devices such as mobile phones or PDAs are used, and for Internet Protocol (IP) applications. Speech Recognition Over Digital Channels is the first book of its kind to offer a complete system comprehension, addressing the topics of distributed and network-based speech recognition issues and standards, the concepts of speech processing and transmission, and system architectures and robustness. Describes the different client/server architectures for remote speech recognition systems, by means of which the client transmits speech parameters through a digital channel to a remote recognition server Focuses on robustness against both adverse acoustic environments (in the front-end) and bit errors/packet loss Discusses four ETSI standards for distributed speech recognition; the understanding of the standards and the technologies behind them Provides the necessary background for the comprehension of remote speech recognition technologies This book will appeal to a wide-ranging audience: engineers using speech recognition systems, researchers involved in ASR systems and those interested in processing and transmitting speech such as signal processing and communications communities. It will also be of interest to technical experts requiring an understanding of recognition over mobile and IP networks, and postgraduate students working on robust speech processing.

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Группа авторов Wiley Revenue Recognition


The most practical, authoritative guide to every aspect of revenue recognition-including Sarbanes-Oxley Revenue recognition is one of the most important-and one of the most difficult-figures for both preparers and users of financial statements. Wiley Revenue Recognition helps you confidently navigate and address the uncertainties in this intricate area of accounting. Accounting expert Steven Bragg provides not only a detailed view of the current accounting rules and regulations pertaining to revenue recognition, but also describes the exact sources of this information, how a company's treatment of revenue recognition is to be disclosed alongside the financial statements, and what policies, procedures, and controls can be used to enforce it in a consistent manner. Addressing revenue recognition from every angle with extensive supporting examples, this invaluable guide: * Shows how to comply with Sarbanes-Oxley by revealing key controls over revenue recognition * Applies revenue recognition concepts to multiple examples on every topic * Explores all aspects of revenue recognition, including control systems, supported by extensive examples * Illustrates the most complex revenue recognition concepts for easier reader comprehension * Provides descriptions of control points throughout the book * Addresses revenue recognition for various industries, including franchising, construction, motion pictures, not-for-profits, real estate, recording and music, services, and software Because revenue recognition rules vary both by type of transaction as well as by industry, the chapters of Wiley Revenue Recognition are clustered into transaction-related revenue recognition rules, and then into industry-related revenue recognition rules. In addition, there is coverage of: * Long-term construction contracts * Service revenues * Real estate sales * Revenue recognition from franchising operations * Examples of revenue disclosures Wiley Revenue Recognition is a thorough introduction to every aspect of revenue recognition-how to account for it, report it, and set up systems and controls to ensure that the rules are properly followed. With practicable, workable advice, this authoritative guide will assist you in consistently recognizing revenue in the correct amounts, at the right time, and in accordance with generally accepted accounting principles.

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Группа авторов Template Matching Techniques in Computer Vision


The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human perception mechanisms, and for the development of practical biometric systems. This book and the accompanying website, focus on template matching, a subset of object recognition techniques of wide applicability, which has proved to be particularly effective for face recognition applications. Using examples from face processing tasks throughout the book to illustrate more general object recognition approaches, Roberto Brunelli: examines the basics of digital image formation, highlighting points critical to the task of template matching; presents basic and advanced template matching techniques, targeting grey-level images, shapes and point sets; discusses recent pattern classification paradigms from a template matching perspective; illustrates the development of a real face recognition system; explores the use of advanced computer graphics techniques in the development of computer vision algorithms. Template Matching Techniques in Computer Vision is primarily aimed at practitioners working on the development of systems for effective object recognition such as biometrics, robot navigation, multimedia retrieval and landmark detection. It is also of interest to graduate students undertaking studies in these areas.

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Matthias Distant Speech Recognition


A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety of effects such as background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far-field sensors, there are a number of novel techniques within the recognition system as well as techniques developed in other areas of signal processing that can mitigate the deleterious effects of noise and reverberation, as well as separating speech from overlapping speakers. Distant Speech Recognitionpresents a contemporary and comprehensive description of both theoretic abstraction and practical issues inherent in the distant ASR problem. Key Features: Covers the entire topic of distant ASR and offers practical solutions to overcome the problems related to it Provides documentation and sample scripts to enable readers to construct state-of-the-art distant speech recognition systems Gives relevant background information in acoustics and filter techniques, Explains the extraction and enhancement of classification relevant speech features Describes maximum likelihood as well as discriminative parameter estimation, and maximum likelihood normalization techniques Discusses the use of multi-microphone configurations for speaker tracking and channel combination Presents several applications of the methods and technologies described in this book Accompanying website with open source software and tools to construct state-of-the-art distant speech recognition systems This reference will be an invaluable resource for researchers, developers, engineers and other professionals, as well as advanced students in speech technology, signal processing, acoustics, statistics and artificial intelligence fields.

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Professor Mohamed Cheriet personal page - etsmtl.ca

Cheriet was awarded the Queen Elizabeth II Diamond Jubilee Medal in light of his significant contributions to knowledge improvement in computational intelligence and mathematical modeling for image processing, created by MITCAS to mark the 60th anniversary of Her Majesty’s accession to the throne. He holds NSERC Canada Research Chair Tier 1 in Sustainable Smart echo-Cloud.

Character Recognition Systems: A Guide for Students and ...

Mohamed Cheriet is Professor in the Department of Automation Engineering at the École de Technologie Supérieure of University of Quebec, Montreal. He is the Director of Synchromedia Consortium,...

Mohamed Cheriet | ÉTS Montréal

Mohamed Cheriet, Horst Bunke, Jianying Hu, Fumitaka Kimura, Ching Y. Suen. 2009. « New frontiers in handwriting ... « Stroke-model-based character extraction from gray-level document images ». IEEE Transactions on Image Processing. vol. 10 , nº 8. p. 1152-1161. Lakhdar Remaki, Mohamed Cheriet. 2000. « KCS - new kernel family with compact support in scale space : formulation and impact ...

Character Recognition Systems: A Guide for Students and ...

Mohamed Cheriet, Nawwaf Kharma, Cheng-Lin Liu, Ching Suen. Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem. This book is written by very well-known academics who have worked in the field for many years and have made significant and lasting contributions. The book will no ...

Professor Mohamed Cheriet personal page - etsmtl.ca

Cheriet Mohamed, El-Yacoubi M , Fujisawa H, Lopresti D P, Lorette G. Journal Paper Published - Pattern Recognition, 42(12), 3131-3135 Abstract Funding Resources . Natural Sciences and Engineering Research Council of Canada (NSERC) -Discovery Grant. December-2009. RSLDI: Restoration of single-sided low-quality document images. Farrahi Moghaddam R,Cheriet M. Journal Paper Published - Pattern ...

Character Recognition Systems: A Guide for Students and ...

Home > Character Recognition Systems: A Guide for Students and Practiti Note: Cover may not represent actual copy or condition available. Character Recognition Systems: A Guide for Students and Practitioners by Mohamed Cheriet, Nawwaf Kharma, Cheng-Lin Liu, Ching Suen Edition: 1 Book condition: Used:Good Book Description. Wiley-Interscience, 2007-10-12. 1. Hardcover. Used:Good. Title ...

‪Mohamed Cheriet‬ - ‪Google Scholar‬

Mohamed Cheriet. Full Professor, ÉTS (U. of Quebec), Senior Canada Research Chair , SYNCHROMEDIA Lab, CIRODD. Verified email at etsmtl.ca - Homepage. Pattern Recognition Machine Learning Image Processing Sustainable Smart Cloud & Networks Energy Efficiency. Articles Cited by Co-authors. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. Year; Character recognition ...

Nepali Handwritten Character Recognition using CNN ”

[2] Mohamed Cheriet, Nawwaf Kharma, Cheng-Lin Liu and Ching Y. Suen, “Character Recognition Systems” [3] Kwanlekha Sae-Tang and Jumpol Polvichai, “An Effective Handwritten Digit Recognition with Convolutional Neural Network” Character is a collection of number make matrix! Full document: here. Full Code: github. Resource Provider: PJMessi

(PDF) Shock Filters for Character Image Enhancement and ...

All content in this area was uploaded by Mohamed Cheriet. Content may be subject to copyright. Shock Filters for Character Im age Enhancement and Peeling . Mohamed Cheriet . Laboratory for Imagery ...

Bayes classification of online arabic characters by gibbs ...

BibTeX @ARTICLE{Mezghani_bayesclassification, author = {Neila Mezghani and Student Member and Amar Mitiche and Mohamed Cheriet and Senior Member}, title = {Bayes classification of online arabic characters by gibbs modeling of class conditional densities}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = {}, pages = {2008}}

Character Recognition Systems (eBook, PDF) von Mohammed ...

Mohamed Cheriet is Professor in the Department of Automation Engineering at the École de Technologie Supérieure of University of Quebec, Montreal. He is the Director of Synchromedia Consortium, working in the fields of image processing, document analysis and recognition, learning algorithms, perception, and intellipresence. Nawwaf Kharma is Associate Professor in the Department of Computer and Electrical Engineering at Concordia University, Montreal. He is Director of the Concordia ...

Character Recognition Systems: A Guide for Students and ...

Character Recognition Systems: A Guide for Students and Practitioners [Cheriet, Mohamed, Kharma, Nawwaf, Liu, Cheng-Lin, Suen, Ching] on Amazon.com. *FREE* shipping on qualifying offers. Character Recognition Systems: A Guide for Students and Practitioners

Character Recognition Systems | Wiley Online Books

Professor Mohamed Cheriet is currently Professor of Computer and Electrical Engineering at the University of Concordia. He has published extensively on the subjects of pattern and character recognition, and machine intelligence.

Mohamed CHERIET | Professor (Full) | PEng., PhD, SM'IEEE ...

Mohamed CHERIET, Professor (Full) of École de Technologie Supérieure, Montréal | Read 480 publications | Contact Mohamed CHERIET

MohAmed Cheriet's birds - Home | Facebook

MohAmed Cheriet's birds, Alger. 9,441 likes · 21 talking about this. ‎صفحة فُتِحت من أجلكم ستجدون فيها كل جديد في عالم الطيور مرحبا بكم‎

(PDF) Combination of Pruned Kohonen Maps for On-line ...

Combination of Pruned Kohonen Maps for On-line Arabic Characters Recognition Neila Mezghani Mohamed Cheriet INRS-Telecommunications Ecole de Technologie Sup´erieure 800, de la Gaucheti`ere W, Suite 6900 1100 rue Notre-Dame Ouest Montreal QC, H5A 1K6 Canada Montreal QC, H3C 1K3 Canada [email protected] [email protected] Amar Mitiche INRS-Telecommunications 800, de la ...

Character Recognition Systems (eBook, PDF) von Mohammed ...

Professor Mohamed Cheriet is currently Professor of Computer and Electrical Engineering at the University of Concordia. He has published extensively on the subjects of pattern and character recognition, and machine intelligence. Professor Nawwaf Kharma has been an assistant professor for the Department of Electrical and Computer Engineering at Concordia University since 2000. Dr. Cheng-Lin Liu worked for Hitachi until the beginning of 2005, and then joined the Institute of Automation at the ...

Apprentissage profond de formes manuscrites pour la ...

Mohamed Cheriet et la co-direction du professeur Christian Desrosiers. L’objectif de cette thèse est de concevoir un système de reconnaissance d’écriture manuscrite, capable de générer et de repérer le texte écrit dans une collection d’images de documents. Le système proposé est basé sur des modèles d’apprentissage profond supervisés et non supervi-sés. Cette recherche a ...

Character Recognition Systems : A Guide for Students and ...

Find many great new & used options and get the best deals for Character Recognition Systems : A Guide for Students and Practitioners by Cheng-Lin Liu, Mohamed Cheriet, Nawwaf Kharma, Mohammed Cheriet and Ching Suen (2007, Hardcover) at the best online prices at eBay! Free shipping for many products!

Databases for recognition of handwritten Arabic cheques ...

About the Author—MOHAMED CHERIET received his B. Eng. degree in Computer Science from Université des Sciences et de Technologie d'Alger (Algiers) in 1984, and received his M.Sc. and Ph.D. degrees, also in Computer Science, from University of Pierre et Marie Curie (Paris VI) in 1985 and 1988, respectively.Dr. Cheriet was appointed Assistant Professor in 1992, Associate Professor in 1995, and ...

Character Recognition Systems: A Guide for Students and ...

Professor Mohamed Cheriet is currently Professor of Computer and Electrical Engineering at the University of Concordia. He has published extensively on the subjects of pattern and character recognition, and machine intelligence. Professor Nawwaf Kharma has been an assistant professor for the Department of Electrical and Computer Engineering at Concordia University since 2000.

Character Recognition Systems - Mohammed Cheriet, Nawwaf ...

Character Recognition Systems von Mohammed Cheriet, Nawwaf Kharma, Cheng-Lin Liu - Englische Bücher zum Genre Allgemein & Lexika günstig & portofrei bestellen im Online Shop von Ex Libris.

Character Recognition Systems: A Guide for Students and ...

Character Recognition Systems: A Guide for Students and Practitioners: Cheriet, Mohamed, Kharma, Nawwaf, Suen, Ching, Liu, Cheng-Lin: 9780471415701: Books - Amazon.ca

Arabic and Chinese Handwriting Recognition: SACH 2006 ...

Mohamed Cheriet (auth.), David Doermann, Stefan Jaeger (eds.) In the fall of 2006, the University of Maryland, along with various government and industrial sponsors, invited leading researchers from all over the world to a two-day Summit on Arabic and Chinese Handwriting Recognition (SACH 2006).

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE ...

Characters by Gibbs Modeling of Class Conditional Densities Neila Mezghani, Student Member, IEEE, Amar Mitiche, Member, IEEE, and Mohamed Cheriet,Senior Member, IEEE Abstract—This study investigates Bayes classification of online Arabic characters using histograms of tangent differences and Gibbs modelingof theclass-conditional probability densityfunctions.The parameters of theseGibbs ...

Mohamed Cheriet - Home

Mohamed Cheriet. Search for Mohamed Cheriet's work. Search Search. Home Mohamed Cheriet. Mohamed Cheriet. Skip slideshow. Most frequent co-Author ...

CiteSeerX — Shock Filters for Character Image Enhancement ...

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper, we propose a generalized shock model for the enhancement and restoration of degraded gray-level character images. This model is a quasi-linear hyperbolic partial differential equation with discontinuous coefficients, based on a recently-published work.

mohamed cheriet - YouTube

mohamed cheriet Videos; Playlists; Channels; Discussion; About; Home Trending History Get YouTube Premium Get YouTube TV Best of YouTube Music Sports Gaming ...

Mohamed Cheriet - researchr alias

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字符识别下载_在线阅读 - 爱问共享资料

[et al.]. p. cm. Includes bibliographical references and index. ISBN 978-0-471-41570-1 (cloth) 1. Optical character recognition devices. I. Cheriet, M. (Mohamed) TA1640.C47 2007 006.4’24–dc22 2007011314 Printed in the United States of America 10 9 8 7 6 5 4 3 2 1 To my parents, my wife Farida, my daugters Imane, Islem and Ihcene (Mohamed Cheriet) To my parents Nayef and Fauzieh, to the ...

Character Recognition Systems : Mohamed Cheriet ...

Character Recognition Systems by Mohamed Cheriet, 9780470176535, available at Book Depository with free delivery worldwide.

Shock Filters for Character Image Enhancement and Peeling ...

By Mohamed Cheriet. Abstract. In this paper, we propose a generalized shock model for the enhancement and restoration of degraded gray-level character images. This model is a quasi-linear hyperbolic partial differential equation with discontinuous coefficients, based on a recently-published work. The model was extended to peeling character shapes with a uniform and centered width of value K ...

Support Vector Machine | SpringerLink

Support vector machines (SVMs) are particular linear classifiers which are based on the margin maximization principle. They perform structural risk minimization, which improves the complexity of the classifier with the aim of achieving excellent generalization performance. The SVM accomplishes the classification task by constructing, in a higher dimensional space, the hyperplane that optimally ...

Publications – .txtlab @ mcgill

Eve Kraicer and Andrew Piper, “Social Characters: The Hierarchy of Gender in Contemporary English-Language Fiction, ... Alayne Moody, Andrew Piper, Chad Wellmon, and Mohamed Cheriet, “Detecting Footnotes in 32 million pages of ECCO,” Journal of Cultural Analytics (December 2018). DOI: 10.22148/16.029. Jonathan Sachs and Andrew Piper, “Technique and the Time of Reading,” PMLA 133.5 ...

Building Classifier Models for on-off Javanese Character ...

Home ICPS Proceedings iiWAS2019 Building Classifier Models for on-off Javanese Character Recognition. research-article . Building Classifier Models for on-off Javanese Character Recognition. Share on. Authors: Lucia D. Krisnawati. Universitas Kristen Duta Wacana, Jogjakarta, Indonesia. Universitas Kristen Duta Wacana, Jogjakarta, Indonesia . View Profile, Aditya W. Mahastama. Universitas ...

oanoomouth: [O906.Ebook] Ebook Free Character Recognition ...

Character Recognition Systems: A Guide for Students and Practitioners, by Mohamed Cheriet, Nawwaf Kharma, Cheng-Lin Liu, Ching Suen. Ebook Free Character Recognition Systems: A Guide for Students and Practitioners, by Mohamed Cheriet, Nawwaf Kharma, Cheng-Lin Liu, Ching Suen. Do you believe that reading is a crucial task? Discover your reasons including is essential. Reviewing a book Character ...

Synchromedia | Laboratory for multimedia communication in ...

MOHAMED CHERIET received the B.Sc. CE (Bab Ezzouar University, Algiers), DEA and Doctorate of University of Paris 6 (Paris 6, France). As a scientist and educator, Prof. Cheriet has taken an active role in publishing technical papers and authoring books. He has published 70 international journal papers and 135 international conference papers, and has delivered 17 invited talks. In addition, he ...

Character Recognition Systems: A Guide for Students and ...

"Character Recognition Systems" discusses character recognition, a process by which text based input patterns produce meaningful output. Through the use of practical examples and theoretical concepts, the authors discuss feature extraction and selection, pattern recognition, as well as relevant issues such as the recognition of bank accounts, signature verification, and postal address recognition.

Feature Extraction, Selection, and Creation - Character ...

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.

SKCS-A Separable Kernel Family with Compact Support to ...

It depends on the quality of the character segmentation process. Over the last few decades, mathematical tools have been developed for this purpose. Several authors show that the Gaussian kernel is unique and offers many beneficial properties. In their recent work Remaki and Cheriet proposed a new kernel family with compact supports (KCS) in scale space that achieved good performance in ...

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE ...

Bayes classification of online Arabic characters by Gibbs modeling of class conditional densities Neila Mezghani , Student member, IEEE, Amar Mitiche , Member, IEEE, and Mohamed Cheriet , Senior Member, IEEE Abstract—This study investigates Bayes classification of on-line Arabic characters using histograms of tangent differences and Gibbs modeling of the class-conditional probability ...

IBN SINA: A database for research on processing and ...

Prof Mohamed Cheriet Synchromedia Laboratory ETS, Montréal, (QC) Canada H3C 1K3 E-mail: [email protected] Tel: +1(514)396-8972 Fax: +1(514)396-8595 Synchromedia Laboratory. École de technologie supérieure. Keywords. Arabic language, shape recognition, skeletonization, character recognition Description. Example of the documents on which the dataset was built. Example of the binarized ...

Table of Contents

Mohamed Cheriet A Review on Persian Script and Recognition Techniques 22 Sara Izadi, Javad Sadri, Farshid Solimanpour, and Ching Y. Suen Human Reading Based Strategies for Off-Line Arabic Word Recognition 36 Abdel Belaid and Christophe Choisy Versatile Search of Scanned Arabic Handwriting 57 Sargur N. Srihari, Gregory R. Ball, and Harish Srinivasan A Two-Tier Arabic Offline Handwriting ...

Lexicon reduction of handwritten Arabic subwords based on ...

Mohamed Cheriet; Ehsanollah Kabir; Original Paper. First Online: 22 February 2016. 272 Downloads; 2 Citations; Abstract. This paper presents a new lexicon reduction method for historical Arabic scripts that compares the input subword image with the lexicon entries, and selects the most similar ones. In comparing two subword images, more importance is given to the prominent shape regions ...

Haibo He Self-Adaptive Systems for Machine Intelligence


This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain. Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction. Therefore, this book will also provide potential new solutions to many real-world applications.

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Cillian McBride Recognition


A tension between the desire to be respected as an equal and the desire to distinguish oneself as a unique person lies at the heart of the modern social order. Everyone cares about recognition: no one wants to be treated with disrespect, insulted, humiliated, or simply ignored. This basic motivation drives the ‘politics of recognition’ which we see in those struggles for inclusion and equality in relation to gender, ethnicity, race and sexuality and which seek to affirm the public value of these particular identities. In this compelling new book Cillian McBride argues that the notion of recognition is not merely confined to these struggles, but has a long history, from ancient ethical ideals centred on the achievement of honour and glory, to Enlightenment ideals of human dignity and equality. He explores the politics of cultural rights and recognition, the conflict between dignity and esteem, the role of shame and stigma in systems of social control and punishment, the prospects for a just society in which everyone receives the recognition they deserve, and the way in which we come to be independent, self-determining persons through negotiating the networks of social recognition we inhabit. Recognition will be essential reading for students in philosophy and political theory, and any general readers interested in trying to understand and evaluate the role of recognition in the modern world.

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Masahiro Araki Spoken, Multilingual and Multimodal Dialogue Systems


Dialogue systems are a very appealing technology with an extraordinary future. Spoken, Multilingual and Multimodal Dialogues Systems: Development and Assessment addresses the great demand for information about the development of advanced dialogue systems combining speech with other modalities under a multilingual framework. It aims to give a systematic overview of dialogue systems and recent advances in the practical application of spoken dialogue systems. Spoken Dialogue Systems are computer-based systems developed to provide information and carry out simple tasks using speech as the interaction mode. Examples include travel information and reservation, weather forecast information, directory information and product order. Multimodal Dialogue Systems aim to overcome the limitations of spoken dialogue systems which use speech as the only communication means, while Multilingual Systems allow interaction with users that speak different languages. Presents a clear snapshot of the structure of a standard dialogue system, by addressing its key components in the context of multilingual and multimodal interaction and the assessment of spoken, multilingual and multimodal systems In addition to the fundamentals of the technologies employed, the development and evaluation of these systems are described Highlights recent advances in the practical application of spoken dialogue systems This comprehensive overview is a must for graduate students and academics in the fields of speech recognition, speech synthesis, speech processing, language, and human–computer interaction technolgy. It will also prove to be a valuable resource to system developers working in these areas.

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Jim Gleeson Japanese Hiragana


This workbook has been carefully designed to facilitate the quick and easy mastery of the forty-six character hiragana syllabary used to write all types of native words not written in kanji.Each character is introduced here with brushed, handwritten, and typed samples to enhance character recognition. Entertaining illustrations and amusing examples of onomatopoeic usage of hiragana in Japanese writings further reinforce memorization in a fun way.This easy-to-use and practical workbook is well suited for beginning students of all ages. This revised edition has 16 more pages of exercises and additional practice pages.

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