Automatic Bankcheck Processing

Front Cover
The widespread use of bankchecks in daily life makes the development of check-reading systems of fundamental relevance to banks and other financial institutions. This will improve productivity and allow advanced customer services. Therefore, many industrial companies and academic research laboratories have recently been attracted to this field, which involves several aspects, like image acquisition and preprocessing, layout analysis, preprinted data identification and recognition, user-entered data extraction, recognition of handwritten characters and words, and signature verification.The contributions collected in this book present the state of the art in the field of complete systems for bankcheck recognition, and explore the most promising trends in key aspects of this research field.

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Contents

Preface
1
Courtesy Amount and Legal Amount
43
A Prototype for Brazilian Bankcheck Recognition
87
A FaultTolerant Chinese Check Recognition System
109
Consideration on the Numeral
133
Automatic Reading of Handwritten Amounts on French Checks
157
Check Amount Recognition Based on the Cross Validation of Courtesy
177
Bankcheck Recognition Using Cross Validation Between Legal
195
Extraction of User Entered Components from a Personal Bankcheck
237
An Evolutionary Approach to the Use of Neural Networks in
255
Recognition of Handwritten Worded Amounts on Checks Using Symbolic
273
An Off Line Cursive Handwritten Word Recognition System and
295
High Performance Unconstrained Word Recognition System Combining
309
Optimal Order of Markov Models Applied to Bankchecks
327
A Cognitive Approach to OffLine Signature Verification
339
A MultiExpert Signature Verification System for Bankcheck Processing
365

Automatic Extraction of Baselines and Data from Check Images
213

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