Fundamentals in Handwriting Recognition

1. Front Matter

   Pages I-IX

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2. Introduction

   1. Introduction

      • Sebastiano Impedovo

      Pages 1-4

3. Introduction and overview of field

   1. Front Matter

      Pages 5-5

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   2. Frontiers in Handwriting Recognition

      • Sebastiano Impedovo

      Pages 7-39

4. Handwritten character recognition

   1. Front Matter

      Pages 41-41

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   2. Historical Review of Theory and Practice of Handwritten Character Recognition

      • Shunji Mori

      Pages 43-69

   3. Automatic Recognition of Handwritten Characters

      • Ching Y. Suen

      Pages 70-80

   4. Learning, Representation, Understanding and Recognition of Words — An Intelligent Approach

      • Patrick Shen-Pei Wang

      Pages 81-112

   5. Digital Transforms in Handwriting Recognition

      • Giovanni Dimauro

      Pages 113-146

   6. Pattern Recognition with Optimal Margin Classifiers

      • Bernhard E. Boser

      Pages 147-171

5. Handwritten word recognition

   1. Front Matter

      Pages 173-173

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   2. On the Robustness of Recognition of Degraded Line Images

      • J. C. Simon

      Pages 175-178

   3. Invariant Handwriting Features Useful in Cursive-Script Recognition

      • Hans-Leo Teulings

      Pages 179-198

   4. Off-line Recognition of Bad Quality Handwritten Words Using Prototypes

      • N. D. Gorsky

      Pages 199-217

   5. Handwriting Recognition by Statistical Methods

      • Torsten Caesar, Joachim Gloger, Alfred Kaltenmeier, Eberhard Mandler

      Pages 218-222

   6. Towards a Visual Recognition of Cursive Script

      • Mohamed Cheriet

      Pages 223-227

   7. A Hierarchical Handwritten Word Segmentation

      • Gilles F. Houle

      Pages 228-232

6. Contextual methods in handwriting recognition

   1. Front Matter

      Pages 233-233

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   2. Cursive Word Recognition: Methods and Strategies

      • Eric Lecolinet, Olivier Baret

      Pages 235-263

   3. Hidden Markov Models in Handwriting Recognition

      • Michel Gilloux

      Pages 264-288

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.

• algorithms
• artificial intelligence
• classification
• cognition
• handwriting
• handwriting recognition
• hidden Markov model
• intelligence
• learning
• neural networks
• optical character recognition (OCR)
• pattern
• pattern recognition
• text analysis
• verification

• Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy

  Sebastiano Impedovo

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