Series in Machine Perception and Artificial Intelligence - Vol. 28
AUTOMATIC BANKCHECK PROCESSING
edited by S Impedovo (University of Bari), P S P Wang (Northeastern University) & H Bunke (Universität Bern)
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.
Contents:
- Automatic Bankcheck Processing: A New Engineered System (G Dimauro
et al.)
- A Prototype for Brazilian Bankcheck Recognition (L L Lee et al.)
- Automatic Reading of Handwritten Amounts on French Checks (M Leroux et al.)
- Bankcheck Recognition Using Cross Validation Between Legal and Courtesy Amounts (G Kim & V Govindaraju)
- An Evolutionary Approach to the Use of Neural Networks in the Segmentation of Handwritten Numerals (J M Westall & M S Narasimha)
- An Off Line Cursive Handwritten Word Recognition System and Its Application to Legal Amount Interpretation (K Han & I K Sethi)
- Optimal Order of Markov Models Applied to Bankchecks (C Olivier et al.)
- A Cognitive Approach to Off-Line Signature Verification (N A Murshed et al.)
- and other papers
Readership: Students and researchers in artificial intelligence and employees
of banks and other financial institutions.
| 388pp |
Pub. date: Dec 1997 |
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