Computer Recognition of Printed Arabic Characters

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (911 download)

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Book Synopsis Computer Recognition of Printed Arabic Characters by : B. M. F. Bushofa

Download or read book Computer Recognition of Printed Arabic Characters written by B. M. F. Bushofa and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Guide to OCR for Arabic Scripts

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Publisher : Springer Science & Business Media
ISBN 13 : 1447140729
Total Pages : 593 pages
Book Rating : 4.4/5 (471 download)

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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.

The Optical Recognition of Printed Arabic Text

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ISBN 13 :
Total Pages : 326 pages
Book Rating : 4.:/5 (785 download)

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Book Synopsis The Optical Recognition of Printed Arabic Text by : Mohammad Bassam Haffar-Habbal

Download or read book The Optical Recognition of Printed Arabic Text written by Mohammad Bassam Haffar-Habbal and published by . This book was released on 1994 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Work on the recognition of Arabic characters has been relatively sparse. The recognition problem is divided into several sub problems and novel approaches are proposed for the solution of these sub problems. The problem of line segmentation of Arabic text with its special characters such as the presence of secondaries above and below the primary part is tackled. The problem of shadowed Arabic characters is also handled. A novel technique for contour tracing of Arabic characters is introduced. The problem of word segmentation of closed contours is also tackled. A novel approach to achieve word segmentation is introduced. It is called word segmentation after recognition. A major contribution is accomplished at the recognition level. Since an Arabic character can have any of four different forms namely the isolated form, the beginning form, the middle form and the ending form, the number of classes to be recognized increases from 28 to 112 different class. This thesis introduced a novel approach for Arabic form recognition using look ahead techniques. A second level of recognition is introduced. It is called secondary position recognition relative to the primary part. A third level of recognition is also introduced. This level detects the position of the Arabic character relative to the base line. Finally, a fourth level of recognition is introduced. This level applies the correlation concepts on the horizontal and vertical densities of the unknown segmented Arabic character. Then, the minimum distance criterion is utilized to select the matching character from the appropriate form library. In addition, several special case problems in the recognition of Arabic characters are introduced and solved. The obtained results are the following. The used features are structural. The size of data base is 150 characters. The classification is min. Euclidean distance criterion. The performance is 96.67 % recognition rate. The used characters are printed Arabic characters.

Arabic and Chinese Handwriting Recognition

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Publisher : Springer
ISBN 13 : 3540781994
Total Pages : 286 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Arabic and Chinese Handwriting Recognition by : David Doermann

Download or read book Arabic and Chinese Handwriting Recognition written by David Doermann and published by Springer. This book was released on 2008-03-13 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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). The event acted as a complement to the biennial Symposium on Document Image Understanding Technology (SDIUT), providing a focused glimpse into the state of the art in Arabic and Chinese handwriting recognition. It offered a forum for interaction with prominent researchers at the forefront of the scientific community and provided an opportunity for participants to help explore possible directions of the field. This book is a result of the expansion, peer review, and revision of selected papers presented at this meeting. Handwriting recognition remains the Holy Grail of document analysis, and Arabic and Chinese scripts embrace many of the most significant challenges. We are pleased to have 16 scientific papers covering the original topics of handwritten Arabic and Chinese, as well as 2 papers covering other handwritten scripts. We asked each author to not only describe the techniques used in addressing the problem, but to attempt to identify the key research challenges and problems that the community faces. The result is an impressive collection of manuscripts that provide various detailed views of the state of research. In this book, six articles deal directly with Arabic handwriting. • Cheriet provides an overview of the problems of Arabic recognition and how systems can use natural language processing techniques to correct errors in lexicon-based systems.

Character Recognition of Printed Arabic

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (127 download)

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Book Synopsis Character Recognition of Printed Arabic by : Falah Hassan Ali

Download or read book Character Recognition of Printed Arabic written by Falah Hassan Ali and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Wireless Networks Information Processing and Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3540898530
Total Pages : 469 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Wireless Networks Information Processing and Systems by : Dil Muhammad Akbar Hussain

Download or read book Wireless Networks Information Processing and Systems written by Dil Muhammad Akbar Hussain and published by Springer Science & Business Media. This book was released on 2008-11-14 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: The international multi-topic conference IMTIC 2008 was held in Pakistan during April 11–12, 2008. It was a joint venture between Mehran University, Jamshoro, Sindh and Aalborg University, Esbjerg, Denmark. Apart from the two-day main event, two workshops were also held: the Workshop on Creating Social Semantic Web 2.0 Information Spaces and the Workshop on Wireless Sensor Networks. Two hundred participants registered for the main conference from 24 countries and 43 papers were presented; the two workshops had overwhelming support and over 400 delegates registered. IMTIC 2008 served as a platform for international scientists and the engineering community in general, and in particular for local scientists and the engineering c- munity to share and cooperate in various fields of interest. The topics presented had a reasonable balance between theory and practice in multidisciplinary topics. The c- ference also had excellent topics covered by the keynote speeches keeping in view the local requirements, which served as a stimulus for students as well as experienced participants. The Program Committee and various other committees were experts in their areas and each paper went through a double-blind peer review process. The c- ference received 135 submissions of which only 46 papers were selected for presen- tion: an acceptance rate of 34%.

Computer-Aided Intelligent Recognition Techniques and Applications

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Publisher : John Wiley & Sons
ISBN 13 : 047009415X
Total Pages : 518 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Computer-Aided Intelligent Recognition Techniques and Applications by : Dr. Muhammad Sarfraz

Download or read book Computer-Aided Intelligent Recognition Techniques and Applications written by Dr. Muhammad Sarfraz and published by John Wiley & Sons. This book was released on 2005-11-01 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Offline Printed Arabic Character Recognition

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (824 download)

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Book Synopsis Offline Printed Arabic Character Recognition by : Ashraf M. AbdelRaouf

Download or read book Offline Printed Arabic Character Recognition written by Ashraf M. AbdelRaouf and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical Character Recognition (OCR) shows great potential for rapid data entry, but has limited success when applied to the Arabic language. Normal OCR problems are compounded by the right-to-left nature of Arabic and because the script is largely connected. This research investigates current approaches to the Arabic character recognition problem and innovates a new approach. The main work involves a Haar-Cascade Classifier (HCC) approach modified for the first time for Arabic character recognition. This technique eliminates the problematic steps in the pre-processing and recognition phases in additional to the character segmentation stage. A classifier was produced for each of the 61 Arabic glyphs that exist after the removal of diacritical marks. These 61 classifiers were trained and tested on an average of about 2,000 images each. A Multi-Modal Arabic Corpus (MMAC) has also been developed to support this work. MMAC makes innovative use of the new concept of connected segments of Arabic words (PAWs) with and without diacritics marks. These new tokens have significance for linguistic as well as OCR research and applications and have been applied here in the post-processing phase. A complete Arabic OCR application has been developed to manipulate the scanned images and extract a list of detected words. It consists of the HCC to extract glyphs, systems for parsing and correcting these glyphs and the MMAC to apply linguistic constrains. The HCC produces a recognition rate for Arabic glyphs of 87%. MMAC is based on 6 million words, is published on the web and has been applied and validated both in research and commercial use.

Towards an Arabic Handwritten Recognition System Using Machine Learning Model

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ISBN 13 :
Total Pages : 76 pages
Book Rating : 4.:/5 (115 download)

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Book Synopsis Towards an Arabic Handwritten Recognition System Using Machine Learning Model by : Hassan Althobiati

Download or read book Towards an Arabic Handwritten Recognition System Using Machine Learning Model written by Hassan Althobiati and published by . This book was released on 2020 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical Character Recognition (OCR) is the process of identifying text in an image or a scanned document and convert it into a digital form. OCR systems have been used widely to convert images that have written content either printed or handwritten. Not only do they make viewing and sharing scanned documents easier, but they also allow searching through documents or images' content in a fast and successful manner. Over the course, a great number of approaches and techniques have been attempted to maximize the performance and reduce the error rate in multi-language OCR systems. However, Arabic language's recognition system still has some challenges and difficulties. The output of an Arabic Optical Character Recognition (AOCR) system is usually vague and unpredictable due to that fact that most Arabic characters are considered multi-object characters. Moreover, many systems and applications do not fully support Arabic language. Therefore, efforts and hard work should be done to implement a system that is able to fully support Arabic language, especially Arabic handwritten characters. Even though research shows good results of machine-printed texts, Arabic handwritten recognition still needs improvements and amendments. To avert the unreliability of handwritten recognition systems, three research studies were conducted. In addition, a unique dataset is built specifically to train and test the efficiency and reliability of the systems. First, a survey research is conducted to understand what the AOCR field has, and what have been done so far. After obtaining the required knowledge, the first Arabic Handwritten Optical Character Recognition (AHOCR) system is developed based on a boundary descriptor algorithm called Freeman chain code. The Freeman chain code is an external representation used to describe an object based on its boundaries. The well-known chain code was chosen because Arabic characters are written in a cursive style and Freeman chain code can provide some crucial information that can be used to measure the curviness of a character, such as perimeter and circularity. Because some Arabic characters have diacritics and dots, a bounding box, which is the smallest box containing a character, is used to capture all the small parts of a character and group them into one small glyph. It should be noted that the bounding box is the smallest possible box containing a character, including holes, dots and symbols. This method is responsible for dividing the entire image into small pieces called "glyphs". The system can recognize most Arabic characters, yet some cursive characters, where multiple cursive lines overlapped, were not identified correctly. Therefore, another AHOCR system is developed, and it is based on Freeman chain code and Tangent Line & Change in Tangent. The main aim of using this method is to measure the rate of change of a cursive line and divide the character into sub-objects. Therefore, the number of sub-objects determines the correct class of the character being checked. By using Tangent Line, the system was able to recognize curvy characters that cannot be recognized using the previous method of encoded Freeman chain code. It has been determined that the method of Tangent Line & Change in Tangent can correct most misclassifications that happened because of using Freeman chain code method. The need for a fast and reliable AHOCR system arose when the previous systems misclassified some characters. Also, calculating the Freeman chain code and measuring the change of rate is time consuming. Therefore, a third AHOCR system that uses machine learning model is developed based on Support Vector Machine (SVM). The system uses Normalized Central Moments (NCM) as well as Local Binary Patterns (LBP) as feature extraction to recognize isolated Arabic handwritten characters. Furthermore, the bounding box is also used in the pre-recognition stage to find the main body of each character along with any auxiliary parts that are associated with it. The proposed algorithm has proved that not only has a higher recognition rate, but also performs better when combining multiple features. Even though there were some difficulties when identifying similar characters, the overall recognition system appeared to be good enough comparing to the difficulties of Arabic language in general. This dissertation represents an extensive survey of Arabic language characters and its difficulties. Further, three AHOCR systems with different algorithms are described in detail to accurately identify isolated Arabic handwritten characters. It also provides a detailed explanation of the experimental results and discusses the limitations and future work

Document Image Analysis

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Publisher : Institute of Electrical & Electronics Engineers(IEEE)
ISBN 13 :
Total Pages : 542 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Document Image Analysis by : Lawrence O'Gorman

Download or read book Document Image Analysis written by Lawrence O'Gorman and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1995 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computers and the Arabic Language

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Publisher : Taylor & Francis
ISBN 13 :
Total Pages : 264 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Computers and the Arabic Language by : Pierre A. MacKay

Download or read book Computers and the Arabic Language written by Pierre A. MacKay and published by Taylor & Francis. This book was released on 1990 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on papers from a Summer Session of the Arab School of Science and Technology, held near Damascus, July 1985.

Handbook of Character Recognition and Document Image Analysis

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Publisher : World Scientific
ISBN 13 : 9789810222703
Total Pages : 868 pages
Book Rating : 4.2/5 (227 download)

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Book Synopsis Handbook of Character Recognition and Document Image Analysis by : Horst Bunke

Download or read book Handbook of Character Recognition and Document Image Analysis written by Horst Bunke and published by World Scientific. This book was released on 1997 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical character recognition and document image analysis have become very important areas with a fast growing number of researchers in the field. This comprehensive handbook with contributions by eminent experts, presents both the theoretical and practical aspects at an introductory level wherever possible.

Handbook Of Character Recognition And Document Image Analysis

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Publisher : World Scientific
ISBN 13 : 9814500380
Total Pages : 851 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Handbook Of Character Recognition And Document Image Analysis by : Horst Bunke

Download or read book Handbook Of Character Recognition And Document Image Analysis written by Horst Bunke and published by World Scientific. This book was released on 1997-05-02 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical character recognition and document image analysis have become very important areas with a fast growing number of researchers in the field. This comprehensive handbook with contributions by eminent experts, presents both the theoretical and practical aspects at an introductory level wherever possible.

Arabic and Chinese Handwriting Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 3540781986
Total Pages : 286 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Arabic and Chinese Handwriting Recognition by : David Scott Doermann

Download or read book Arabic and Chinese Handwriting Recognition written by David Scott Doermann and published by Springer Science & Business Media. This book was released on 2008-04-03 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book constitutes the refereed proceedings of the Summit on Arabic and Chinese Handwriting Recognition, SACH 2006, held in College Park, USA, September 27-28, 2006. The 16 revised full papers presented were carefully reviewed and selected from a total of over 60 submissions. The first six papers deal directly with Arabic handwriting together with a short historic survey of the language and techniques used in recognition. Five papers present the current research in Chinese handwriting and three more papers deal with cross cutting methods applied to other languages. The book closes with two articles on recognition of English and south Indian handwriting.

Optical Character Recognition Systems for Different Languages with Soft Computing

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Publisher : Springer
ISBN 13 : 3319502522
Total Pages : 260 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Optical Character Recognition Systems for Different Languages with Soft Computing by : Arindam Chaudhuri

Download or read book Optical Character Recognition Systems for Different Languages with Soft Computing written by Arindam Chaudhuri and published by Springer. This book was released on 2016-12-23 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition.

Computer Recognition of Printed and Hand-written Arabic Scripts

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Publisher :
ISBN 13 :
Total Pages : 252 pages
Book Rating : 4.:/5 (268 download)

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Book Synopsis Computer Recognition of Printed and Hand-written Arabic Scripts by : Shawki Dakduk

Download or read book Computer Recognition of Printed and Hand-written Arabic Scripts written by Shawki Dakduk and published by . This book was released on 1992 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:

On-line Computer Recognition of Hand-written Arabic Text

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Publisher :
ISBN 13 :
Total Pages : 274 pages
Book Rating : 4.:/5 (959 download)

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Book Synopsis On-line Computer Recognition of Hand-written Arabic Text by : Firas Hassan Fakhriddin Al-Fakhri

Download or read book On-line Computer Recognition of Hand-written Arabic Text written by Firas Hassan Fakhriddin Al-Fakhri and published by . This book was released on 1997 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: