Fundamentals in Handwriting Recognition

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Product Details

  • ISBN-13: 9780387574509
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 1/28/1994
  • Series: NATO Science Series
  • Pages: 496

Table of Contents

Introduction 1
Frontiers in handwriting recognition 7
Historical review of theory and practice of handwritten character recognition 43
Automatic recognition of handwritten characters 70
Learning, representation, understanding and recognition of characters and words - an intelligent approach 81
Digital transforms in handwriting recognition 113
Pattern recognition with optimal margin classifiers 147
On the robustness of recognition of degraded line images 175
Invariant handwriting features useful in cursive script recognition 179
Off-line recognition of bad quality handwritten words using prototypes 199
Handwriting recognition by statistical methods 218
Towards a visual recognition of cursive script 223
A hierarchical handwritten word segmentation 228
Cursive words recognition: methods and strategies 235
Hidden Markov models in handwriting recognition 264
Language-level syntactic and semantic constraints applied to visual word recognition 289
Verification of handwritten British postcodes using address features 313
Improvement of OCR by language model 318
An approximate string matching method for handwriting recognition post-processing using a dictionary 323
Neural-net computing for machine recognition of handwritten English language text 335
Cooperation of feedforward neural networks for handwritten digit recognition 352
Normalisation and preprocessing for a recurrent network off-line handwriting recognition system 360
Architectures for handwriting recognition 369
Large database organization for document images 397
A model-based dynamic signature verification system 417
Algorithms for signature verification 435
Handwritten signature verification: a global approach 455
Total approach for practical character recognition system development 463
A pen-based music editor 489
Subject Index 495
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