Overview

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: Pattern Classification Techniques Based on Function Approximation (U Kressel & J Schürmann) Combination of Multiple Classifier Decisions for Optical Character Recognition (L Lam et al.) Segmentation-Based Cursive Handwriting Recognition (M Shridhar & F Kimura) Handwritten Word Recognition Using Hidden Markov Models (A Kundu) Techniques for Improving OCR Results (A Dengel et al.) Multilingual Document Recognition (A L Spitz) Arabic Character Recognition (A Amin) Interpretation of Engineering Drawings (K Tombre & D Dori) Automatic Reading of Music Notation (D Bainbridge & N Carter) Algorithms for Automatic Signature Verification (G Dimauro et al.) Automatic Reading of Braille Documents (A Antonacopoulos) Information Retrieval and OCR (K Taghva et al.) Benchmarking DIA Systems (T A Nartker et al.) and other papersReadership: Computer scientists and engineers.

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9781299677272

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