Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.This resource will interest anyone involved in computer science, computer engineering, applied mathematics, or related fields. It will also be of use to researchers, application engineers and students who wish to develop successful character recognition systems such as those used in reading addresses in a postal routing system or processing bank checks.Features
Author(s): Lakhmi C. Jain, Beatrice Lazzerini
Series: The CRC Press international series on computational intelligence
Edition: 1
Publisher: CRC Press
Year: 1999
Language: English
Pages: 283
City: Boca Raton, Fla
Contents......Page 1
Preface......Page 6
1 An Introduction to Handwritten Character and Word Recognition......Page 8
2 Recognition of Handwritten Digits in the Real World by a Neocognitron......Page 21
3 Recognition of Rotated Patterns Using a Neocognitron......Page 51
4 A Soft Computing Approach to Handwritten Numeral Recognition......Page 68
5 Handwritten Character Recognition Using a MLP......Page 92
6 Signature Verification Based on a Fuzzy Genetic Algorithm......Page 120
7 The Application of a Genetic Neural Network to Handwritten Digit Classfication......Page 148
8 High-Speed Recognition of Handwritten Amounts on Italian Checks......Page 161
9 Off-Line Handwritten Word Recognition Using Hidden Markov Models......Page 184
10 Off-Line Handwritting Recognition with Context-Dependent Fuzzy Rules......Page 221
11 License Plate Recognition......Page 248
