Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Character Recognition Of Printed Arabic full books in PDF, epub, and Kindle. Read online Character Recognition Of Printed Arabic ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Falah Hassan Ali
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (127 download)
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:
Author : Volker Märgner
Publisher : Springer Science & Business Media
ISBN 13 : 1447140729
Total Pages : 593 pages
Book Rating : 4.4/5 (471 download)
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.
Author : Mansoor Alghamdi
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)
Download or read book A Novel Approach to Printed Arabic Optical Character Recognition written by Mansoor Alghamdi and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Horst Bunke
Publisher : World Scientific
ISBN 13 : 9814500380
Total Pages : 851 pages
Book Rating : 4.8/5 (145 download)
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.
Author : Ashraf M. AbdelRaouf
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (824 download)
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.
Author : OBAID ALI MEFTAH.
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)
Download or read book A New Method For the Optical Character Recognition of Arabic Printed Texts written by OBAID ALI MEFTAH. and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mahnaz Shafii
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)
Download or read book Optical Character Recognition of Printed Persian/Arabic Documents written by Mahnaz Shafii and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Frans Coenen
Publisher : Springer Science & Business Media
ISBN 13 : 9781852337803
Total Pages : 72 pages
Book Rating : 4.3/5 (378 download)
Download or read book Research and Development in Intelligent Systems XX written by Frans Coenen and published by Springer Science & Business Media. This book was released on 2004-02-03 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frans Coenen University of Liverpool, UK This volume comprises the refereed technical papers presented at AI2003, the Twenty third SGAI International Conference on the theory, practice and application of Artificial Intelligence, held in Cambridge in December 2003. The conference was organised by SGAI, the British Computer Society Specialist Group on Artificial Intelligence (previously known as SGES). The papers in this volume present new and innovative developments in the field, divided into sections on Machine Learning, Knowledge Representation and Reasoning, Knowledge Acquisition, Constraint Satisfaction, Scheduling and Natural Language Processing. This year's prize for the best refereed technical paper was won by a paper entitled An Improved Hybrid Genetic Algorithm: New Results for the Quadratic Assignment Problem by A. Misevicius (Department of Practical Informatics, Kaunas University of Technology, Lithuania). SGAI gratefully acknowledges the long-term sponsorship of Hewlett-Packard Laboratories (Bristol) for this prize, which goes back to the 1980s. This is the twentieth volume in the Research and Development series. The Application Stream papers are published as a companion volume under the title Applications and Innovations in Intelligent Systems XI. On behalf of the conference organising committee I should like to thank all those who contributed to the organisation of this year's technical programme, in particular the programme committee members, the referees and our administrator Fiona Hartree and Linsay Turbert.
Author : Lawrence O'Gorman
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
ISBN 13 :
Total Pages : 542 pages
Book Rating : 4.F/5 ( download)
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:
Author : Dil Muhammad Akbar Hussain
Publisher : Springer Science & Business Media
ISBN 13 : 3540898530
Total Pages : 469 pages
Book Rating : 4.5/5 (48 download)
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%.
Author : Mohammad Bassam Haffar-Habbal
Publisher :
ISBN 13 :
Total Pages : 326 pages
Book Rating : 4.:/5 (785 download)
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.
Author : Sebastiano Impedovo
Publisher : Springer Science & Business Media
ISBN 13 : 3642786464
Total Pages : 499 pages
Book Rating : 4.6/5 (427 download)
Download or read book Fundamentals in Handwriting Recognition written by Sebastiano Impedovo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many years researchers in the field of Handwriting Recognition were considered to be working in an area of minor importance in Pattern Recog nition. They had only the possibility to present the results of their research at general conferences such as the ICPR or publish their papers in journals such as some of the IEEE series or PR, together with many other papers generally oriented to the more promising areas of Pattern Recognition. The series of International Workshops on Frontiers in Handwriting Recog nition and International Conferences on Document Analysis and Recognition together with some special issues of several journals are now fulfilling the expectations of many researchers who have been attracted to this area and are involving many academic institutions and industrial companies. But in order to facilitate the introduction of young researchers into the field and give them both theoretically and practically powerful tools, it is now time that some high level teaching schools in handwriting recognition be held, also in order to unite the foundations of the field. Therefore it was my pleasure to organize the NATO Advanced Study Institute on Fundamentals in Handwriting Recognition that had its origin in many exchanges among the most important specialists in the field, during the International Workshops on Frontiers in Handwriting Recognition.
Author : Hassan Althobiati
Publisher :
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4.:/5 (115 download)
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
Author : Aboul Ella Hassanien
Publisher :
ISBN 13 : 9781522522294
Total Pages : pages
Book Rating : 4.5/5 (222 download)
Download or read book Handbook of Research on Machine Learning Innovations and Trends written by Aboul Ella Hassanien and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.
Author : B. M. F. Bushofa
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (911 download)
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:
Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (946 download)
Download or read book Foreign Language Optical Character Recognition, Phase II: Arabic and Persian Training and Test Data Sets written by and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes the creation of large data sets consisting of bit-mapped images of real-world printed secular Arabic-alphabet text (in Arabic and Persian), accompanied by corresponding high-fidelity coded transcriptions (text ground truth), that have been systematically chosen, prepared, and documented. Each data set is divided into a training set, which is made available to developers, and a carefully matched equal-sized set of closely analogous samples, which is reserved for testing of the developers' products. The samples were systematically chosen to represent current vocabulary, usage, typography, and publication practices in major newspapers and news magazines, and in recent books and journals dealing with politics, economics, and commercial and military matters. Lexicons and character-frequency tables have been compiled for each data set and for the Arabic collection as a whole.
Author : Arindam Chaudhuri
Publisher : Springer
ISBN 13 : 3319502522
Total Pages : 260 pages
Book Rating : 4.3/5 (195 download)
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.
