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Automatic Recognition Of Words In Arabic Manuscripts
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Book Synopsis Automatic Recognition of Words in Arabic Manuscripts by : Mohammad S. M Khorsheed
Download or read book Automatic Recognition of Words in Arabic Manuscripts written by Mohammad S. M Khorsheed and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "The need to transliterate large numbers of historical Arabic documents into machine-readable form has motivated new work on offline recognition of Arabic script. Arabic script presents two challenges: orthography is cursive and letter shape is context sensitive. This dissertation presents two techniques to achieve high word recognition rates: the segmentation-free technique and the segmentation-based technique. The segmentation-free technique treats the word as a whole. The word image is first transformed into a normalised polar image. The two-dimensional Fourier transform is then applied to the polar image. This results in a Fourier spectrum that is invariant to dilation, translation, and rotation. The Fourier spectrum is used to form the word template, or train the word model in the template-based and the multiple hidden Markov model (HMM) recognition systems, respectively. The recognition of an input word image is based on the minimum distance measure from the word templates and the maximum likelihood probability for the word models. The segmentation-based technique uses a single hidden Markov model, which is composed of multiple character-models. The technique implements the analytic approach in which words are segmented into smaller units, not necessarily characters. The word skeleton is decomposed into a number of links in orthographic order, it is then transferred into a sequence of discrete symbols using vector quantisation. The training of each character-model is performed using either: state assignment in the lexicon-driven configuration or the Baum-Welch method in the lexicon-free configuration. The observation sequence of the input word is given to the hidden Markov model and the Viterbi algorithm is applied to provide an ordered list of the candidate recognitions."
Book Synopsis Automatic Recognition of Words in Arabic Manuscripts by : Mohammad S. M. Khorsheed
Download or read book Automatic Recognition of Words in Arabic Manuscripts written by Mohammad S. M. Khorsheed and published by . This book was released on 2000 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "The need to transliterate large numbers of historical Arabic documents into machine-readable form has motivated new work on offline recognition of Arabic script. Arabic script presents two challenges: orthography is cursive and letter shape is context sensitive. This dissertation presents two techniques to achieve high word recognition rates: the segmentation-free technique and the segmentation-based technique. The segmentation-free technique treats the word as a whole. The word image is first transformed into a normalised polar image. The two-dimensional Fourier transform is then applied to the polar image. This results in a Fourier spectrum that is invariant to dilation, translation, and rotation. The Fourier spectrum is used to form the word template, or train the word model in the template-based and the multiple hidden Markov model (HMM) recognition systems, respectively. The recognition of an input word image is based on the minimum distance measure from the word templates and the maximum likelihood probability for the word models. The segmentation-based technique uses a single hidden Markov model, which is composed of multiple character-models. The technique implements the analytic approach in which words are segmented into smaller units, not necessarily characters. The word skeleton is decomposed into a number of links in orthographic order, it is then transferred into a sequence of discrete symbols using vector quantisation. The training of each character-model is performed using either: state assignment in the lexicon-driven configuration or the Baum-Welch method in the lexicon-free configuration. The observation sequence of the input word is given to the hidden Markov model and the Viterbi algorithm is applied to provide an ordered list of the candidate recognitions."
Book Synopsis Deep Learning Applications to Offline Arabic Handwriting Words Recognition Using Convolutional Neural Network by : Nori Alzrrog
Download or read book Deep Learning Applications to Offline Arabic Handwriting Words Recognition Using Convolutional Neural Network written by Nori Alzrrog and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic handwriting recognition is the process of converting online and offline letters or words as a graphical form into its text format. Automatic Arabic Handwriting words recognition using deep learning neural networks is still in the early stages in terms of research. There are no general, complete, and reliable Arabic Handwritten Words (AHW) database (lexicon) that can be used as a reference or a benchmark for all researchers who want to extend the work on automatic Arabic handwriting word recognition. Also, many historic Arabic manuscripts have deteriorated because of inappropriate storage and most of them have not been digitized due to the lack of reliable database that can be used to recognize the words of Arabic manuscripts. Deep Convolutional Neural Networks (DCNNs) can be used to solve the problems of automatic Arabic handwriting words recognition. In this work, a new DCNN algorithm applied to a new dataset of Handwritten Arabic words representing the seven days of the week named Arabic Handwritten Weekdays Dataset (AHWD) has been programmed, tested, and analyzed.
Book Synopsis Word Based Off-line Handwritten Arabic Classification and Recognition. Design of Automatic Recognition System for Large Vocabulary Offline Handwritten Arabic Words Using Machine Learning Approaches by : Jawad Hasan Yasin AlKhateeb
Download or read book Word Based Off-line Handwritten Arabic Classification and Recognition. Design of Automatic Recognition System for Large Vocabulary Offline Handwritten Arabic Words Using Machine Learning Approaches written by Jawad Hasan Yasin AlKhateeb and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Linguistics, Speech And Image Processing For Arabic Language by : Neamat El Gayar
Download or read book Computational Linguistics, Speech And Image Processing For Arabic Language written by Neamat El Gayar and published by World Scientific. This book was released on 2018-09-18 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book encompasses a collection of topics covering recent advances that are important to the Arabic language in areas of natural language processing, speech and image analysis. This book presents state-of-the-art reviews and fundamentals as well as applications and recent innovations.The book chapters by top researchers present basic concepts and challenges for the Arabic language in linguistic processing, handwritten recognition, document analysis, text classification and speech processing. In addition, it reports on selected applications in sentiment analysis, annotation, text summarization, speech and font analysis, word recognition and spotting and question answering.Moreover, it highlights and introduces some novel applications in vital areas for the Arabic language. The book is therefore a useful resource for young researchers who are interested in the Arabic language and are still developing their fundamentals and skills in this area. It is also interesting for scientists who wish to keep track of the most recent research directions and advances in this area.
Book Synopsis Guide to OCR for Arabic Scripts by : Volker Märgner
Download or read book Guide to OCR for Arabic Scripts written by Volker Märgner and published by Springer Science & Business Media. This book was released on 2012-07-03 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Guide to OCR for Arabic Scripts is the first book of its kind, specifically devoted to this emerging field. Topics and features: contains contributions from the leading researchers in the field; with a Foreword by Professor Bente Maegaard of the University of Copenhagen; presents a detailed overview of Arabic character recognition technology, covering a range of different aspects of pre-processing and feature extraction; reviews a broad selection of varying approaches, including HMM-based methods and a recognition system based on multidimensional recurrent neural networks; examines the evaluation of Arabic script recognition systems, discussing data collection and annotation, benchmarking strategies, and handwriting recognition competitions; describes numerous applications of Arabic script recognition technology, from historical Arabic manuscripts to online Arabic recognition.
Book Synopsis Cross-Word Modeling for Arabic Speech Recognition by : Dia AbuZeina
Download or read book Cross-Word Modeling for Arabic Speech Recognition written by Dia AbuZeina and published by Springer Science & Business Media. This book was released on 2011-11-25 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cross-Word Modeling for Arabic Speech Recognition utilizes phonological rules in order to model the cross-word problem, a merging of adjacent words in speech caused by continuous speech, to enhance the performance of continuous speech recognition systems. The author aims to provide an understanding of the cross-word problem and how it can be avoided, specifically focusing on Arabic phonology using an HHM-based classifier.
Book Synopsis Advances in Neural Networks - ISNN 2006 by : Jun Wang
Download or read book Advances in Neural Networks - ISNN 2006 written by Jun Wang and published by Springer. This book was released on 2006-05-10 with total page 1470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is Volume II of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.
Book Synopsis Lexical and Language Modeling of Diacritics and Morphemes in Arabic Automatic Speech Recognition by : Tuka Al Hanai
Download or read book Lexical and Language Modeling of Diacritics and Morphemes in Arabic Automatic Speech Recognition written by Tuka Al Hanai and published by . This book was released on 2014 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Arabic is a morphologically rich language which rarely displays diacritics. These two features of the language pose challenges when building Automatic Speech Recognition (ASR) systems. Morphological complexity leads to many possible combinations of stems and affixes to form words, and produces texts with high Out Of Vocabulary (OOV) rates. In addition, texts rarely display diacritics which informs the reader about short vowels, geminates, and nunnations (word ending /n/). A lack of diacritics means that 30% of textual information is missing, causing ambiguities in lexical and language modeling when attempting to model pronunciations, and the context of a particular pronunciation. Intuitively, from an English centric view, the phrase th'wrtr wrt n thwrt with 'morphological decomposition' is realized as, th wrtr wrt n th wrt. Including 'diacritics' produces, the writer wrote in the writ. Thus our investigations in this thesis are twofold. Firstly, we show the benefits and interactions between modeling all classes of diacritics (short vowels, geminates, nunnations) in the lexicon. On a Modern Standard Arabic (MSA) corpus of broadcast news, this provides a 1.9% absolute improvement in Word Error Rate (WER) (p
Book Synopsis Genetic Algorithms in Applications by : Rustem Popa
Download or read book Genetic Algorithms in Applications written by Rustem Popa and published by BoD – Books on Demand. This book was released on 2012-03-21 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms.
Book Synopsis ECEL2013- Proceedings for the 12th European Conference on eLearning by : Dr Mélanie Ciussi
Download or read book ECEL2013- Proceedings for the 12th European Conference on eLearning written by Dr Mélanie Ciussi and published by Academic Conferences Limited. This book was released on 2013-01-09 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modern Speech Recognition by : S. Ramakrishnan
Download or read book Modern Speech Recognition written by S. Ramakrishnan and published by BoD – Books on Demand. This book was released on 2012-11-28 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses primarily on speech recognition and the related tasks such as speech enhancement and modeling. This book comprises 3 sections and thirteen chapters written by eminent researchers from USA, Brazil, Australia, Saudi Arabia, Japan, Ireland, Taiwan, Mexico, Slovakia and India. Section 1 on speech recognition consists of seven chapters. Sections 2 and 3 on speech enhancement and speech modeling have three chapters each respectively to supplement section 1. We sincerely believe that thorough reading of these thirteen chapters will provide comprehensive knowledge on modern speech recognition approaches to the readers.
Book Synopsis Proceedings of Sixth International Congress on Information and Communication Technology by : Xin-She Yang
Download or read book Proceedings of Sixth International Congress on Information and Communication Technology written by Xin-She Yang and published by Springer Nature. This book was released on 2021-09-09 with total page 1058 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at the Sixth International Congress on Information and Communication Technology, held at Brunel University, London, on February 25–26, 2021. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The book is presented in four volumes.
Book Synopsis Document Analysis and Recognition – ICDAR 2021 Workshops by : Elisa H. Barney Smith
Download or read book Document Analysis and Recognition – ICDAR 2021 Workshops written by Elisa H. Barney Smith and published by Springer Nature. This book was released on 2021-09-03 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the international workshops co-located with the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland, in September 2021.The total of 59 full and 12 short papers presented in this book were carefully selected from 96 contributions and divided into two volumes. Part I contains 29 full and 4 short papers that stem from the following meetings: ICDAR 2021 Workshop on Graphics Recognition (GREC); ICDAR 2021 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2021 Workshop on Arabic and Derived Script Analysis and Recognition (ASAR 2021); ICDAR 2021 Workshop on Computational Document Forensics (IWCDF). The main topics of the contributions are document processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; signature verification and document forensics, and others. “Accurate Graphic Symbol Detection in Ancient Document Digital Reproductions” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Book Synopsis The Routledge Handbook of Arabic Translation by : Sameh Hanna
Download or read book The Routledge Handbook of Arabic Translation written by Sameh Hanna and published by Routledge. This book was released on 2019-12-09 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Translation-related activities from and into Arabic have significantly increased in the last few years, in both scope and scale. The launch of a number of national translation projects, policies and awards in a number of Arab countries, together with the increasing translation from Arabic in a wide range of subject areas outside the Arab World – especially in the aftermath of the Arab Spring – have complicated and diversified the dynamics of the translation industry involving Arabic. The Routledge Handbook of Arabic Translation seeks to explicate Arabic translation practice, pedagogy and scholarship, with the aim of producing a state-of-the-art reference book that maps out these areas and meets the pedagogical and research needs of advanced undergraduate and postgraduate students, as well as active researchers.
Book Synopsis Advances in Computational Science, Engineering and Information Technology by : Dhinaharan Nagamalai
Download or read book Advances in Computational Science, Engineering and Information Technology written by Dhinaharan Nagamalai and published by Springer Science & Business Media. This book was released on 2013-05-31 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the proceedings of Third International Conference on Computational Science, Engineering and Information Technology (CCSEIT-2013) that was held in Konya, Turkey, on June 7-9. CCSEIT-2013 provided an excellent international forum for sharing knowledge and results in theory, methodology and applications of computational science, engineering and information technology. This book contains research results, projects, survey work and industrial experiences representing significant advances in the field. The different contributions collected in this book cover five main areas: algorithms, data structures and applications; wireless and mobile networks; computer networks and communications; natural language processing and information theory; cryptography and information security.
Book Synopsis Soft Computing Applications and Intelligent Systems by : Shahrul Azman Noah
Download or read book Soft Computing Applications and Intelligent Systems written by Shahrul Azman Noah and published by Springer. This book was released on 2013-08-16 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Second International Multi-Conference on Artificial Intelligence Technology, M-CAIT 2013, held in Shah Alam, in August 2013. The 25 revised full papers presented were carefully reviewed and selected from 110 submissions. M-CAIT 2013 hosted four special tracks in a single event: Intelligence Computation on Pattern Analysis and Robotics (ICPAIR 2013), Data Mining and Optimization (DMO 2013), Semantic Technology and Information Retrieval (STAIR 2013) and Industrial Computing & Applied Informatics (IComp 2013). The papers address issues of state-of-the-art research, development, implementation and applications within the four focus areas in CAIT: pattern recognition, data mining and optimization, knowledge technology and industrial computing.
