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HANDBOOK OF CHARACTER RECOGNITION AND DOCUMENT IMAGE ANALYSIS
edited by H Bunke (Universität Bern, Switzerland) & P S P Wang (Northeastern University, USA)
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.
Contents:
- Image Processing Methods for Document Image Analysis (T M Ha
& H Bunke)
- Pattern Classification Techniques Based on Function Approximation (U Kressel & J Schürmann)
- Combination of Multiple Classifier Decisions for Optical Character Recognition (L Lam et al.)
- Isolated Handprinted Digit Recognition (J Franke)
- Segmentation-Based Cursive Handwriting Recognition (M Shridhar & F Kimura)
- Handwritten Word Recognition Using Hidden Markov Model (A Kundu)
- Overview and Synthesis of On-Line Cursive Handwriting Recognition Techniques (I Guyon et al.)
- Techniques for Improving OCR Results (A Dengel et al.)
- Multilingual Document Recognition (A L Spitz)
- An OCR-Oriented Overview of Ideographic Writing Systems (J Kanai et al.)
- Machine Printed Chinese Character Recognition (X Q Ding)
- Chinese Character Recognition in Taiwan (H-J Lee)
- Research in Japanese OCR (S N Srihari et al.)
- Online Recognition of Korean Hangul Characters (J H Kima & B Sin)
- Arabic Character Recognition (A Amin)
- The Representation of Document Structure: A Generic Object-Process Analysis (D Dori et al.)
- Interpretation of Engineering Drawings (K Tombre & D Dori)
- Analysis of Printed Forms (K Niyogi et al.)
- Paper-Based Map Processing (H Yamada)
- Interpretation of Maps: From Bottom-Up to Model-Based (R D T Janssen)
- Recognition of Mathematical Notation (D Blostein & A Grabavec)
- Automatic Reading of Music Notation (D Bainbridge & N Carter)
- Algorithms for Automatic Signature Verification (G Dimauro et al.)
- Bank Check Analysis and Recognition by Computers (A Agarwal et al.)
- Information Extraction from Paper Documents (T Bayer et al.)
- Automatic Interpretation and Execution of Manual Corrections on Text Documents (D Mori & H Bunke)
- Automatic Reading of Braille Documents (A Antonacopoulos)
- DIA, OCR, and the WWW (G Nagy et al.)
- Information Retrieval and OCR (K Taghva et al.)
- Data Sets for OCR and Document Image Understanding Research (I Guyon et al.)
- Benchmarking DIA Systems (T Nartker)
Readership: Computer scientists and engineers.
| 852pp |
Pub. date: May 1997 |
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