Guide to OCR for Arabic Scripts (Record no. 100763)
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| 000 -LEADER | |
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| fixed length control field | 07028nam a22005175i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-1-4471-4072-6 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20140220083237.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 120703s2012 xxk| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781447140726 |
| -- | 978-1-4471-4072-6 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-1-4471-4072-6 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1637-1638 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1637-1638 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQV |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM012000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM016000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.6 |
| Edition number | 23 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.37 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Märgner, Volker. |
| Relator term | editor. |
| 245 10 - TITLE STATEMENT | |
| Title | Guide to OCR for Arabic Scripts |
| Medium | [electronic resource] / |
| Statement of responsibility, etc | edited by Volker Märgner, Haikal El Abed. |
| 264 #1 - | |
| -- | London : |
| -- | Springer London : |
| -- | Imprint: Springer, |
| -- | 2012. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XX, 590 p. 327 illus., 143 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Part I: Pre-Processing -- An Assessment of Arabic Handwriting Recognition Technology -- Layout Analysis of Arabic Script Documents -- A Multi-Stage Approach to Arabic Document Analysis -- Pre-Processing Issues in Arabic OCR -- Segmentation of Ancient Arabic Documents -- Features for HMM-Based Arabic Handwritten Word Recognition Systems -- Part II: Recognition -- Printed Arabic Text Recognition -- Handwritten Arabic Word Recognition Using the IFN/ENIT-Database -- RWTH OCR: A Large Vocabulary Optical Character Recognition System for Arabic Scripts -- Arabic Handwriting Recognition using Bernoulli HMMs -- Handwritten Farsi Words Recognition Using Hidden Markov Models -- Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networks -- Application of Fractal Theory in Farsi/Arabic Document Analysis -- Multi-Stream Markov Models for Arabic Handwriting Recognition -- Towards Distributed Cursive Writing OCR Systems based on the Combination of Complementary Approaches -- Part III: Evaluation -- Data Collection and Annotation for Arabic Document Analysis -- Arabic Handwriting Recognition Competitions -- Benchmarking Strategy for Arabic Screen Rendered Word Recognition -- Part IV: Applications -- A Robust Word Spotting System for Historical Arabic Manuscripts -- Arabic Text recognition using a Script-Independent Methodology: A Unified HMM-based Approach for Machine-print and Handwritten Text -- Arabic Handwriting Recognition Using VDHMM and Over-Segmentation -- Online Arabic Databases and Applications -- Online Arabic Handwritten Words Recognition Based on HMM and Combination of Online and Offline Features -- Part I: Pre-Processing -- An Assessment of Arabic Handwriting Recognition Technology -- Layout Analysis of Arabic Script Documents -- A Multi-Stage Approach to Arabic Document Analysis -- Pre-Processing Issues in Arabic OCR -- Segmentation of Ancient Arabic Documents -- Features for HMM-Based Arabic Handwritten Word Recognition Systems -- Part II: Recognition -- Printed Arabic Text Recognition -- Handwritten Arabic Word Recognition Using the IFN/ENIT-Database -- RWTH OCR: A Large Vocabulary Optical Character Recognition System for Arabic Scripts -- Arabic Handwriting Recognition using Bernoulli HMMs -- Handwritten Farsi Words Recognition Using Hidden Markov Models -- Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networks -- Application of Fractal Theory in Farsi/Arabic Document Analysis -- Multi-Stream Markov Models for Arabic Handwriting Recognition -- Towards Distributed Cursive Writing OCR Systems based on the Combination of Complementary Approaches -- Part III: Evaluation -- Data Collection and Annotation for Arabic Document Analysis -- Arabic Handwriting Recognition Competitions -- Benchmarking Strategy for Arabic Screen Rendered Word Recognition -- Part IV: Applications -- A Robust Word Spotting System for Historical Arabic Manuscripts -- Arabic Text recognition using a Script-Independent Methodology: A Unified HMM-based Approach for Machine-print and Handwritten Text -- Arabic Handwriting Recognition Using VDHMM and Over-Segmentation -- Online Arabic Databases and Applications -- Online Arabic Handwritten Words Recognition Based on HMM and Combination of Online and Offline Features. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Optical Character Recognition (OCR) is a key technology enabling access to digital text data. This technique is especially valuable for Arabic scripts, for which there has been very little digital access. Arabic script is widely used today. It is estimated that approximately 200 million people use Arabic as a first language, and the Arabic script is shared by an additional 13 languages, making it the second most widespread script in the world. However, Arabic scripts pose unique challenges for OCR systems that cannot be simply adapted from existing Latin character-based processing techniques. This comprehensive Guide to OCR for Arabic Scripts is the first book of its kind, specifically devoted to this emerging field. Presenting state-of-the-art research from an international selection of pre-eminent authorities, the book reviews techniques and algorithms for the recognition of both handwritten and printed Arabic scripts. Many of these techniques can also be applied to other scripts, serving as an inspiration to all groups working in the area of OCR. 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 This authoritative work is an essential reference for all researchers and graduate students interested in OCR technology and methodology in general, and in Arabic scripts in particular. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Text processing (Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Optical pattern recognition. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Image Processing and Computer Vision. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Document Preparation and Text Processing. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Pattern Recognition. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | El Abed, Haikal. |
| Relator term | editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9781447140719 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4471-4072-6 |
| 912 ## - | |
| -- | ZDB-2-SCS |
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