Automatic bankcheck processing / S. Impedovo, P.S.P. Wang, H. Bunke.

Format:

Book

Author/Creator:

Impedovo, S. (Sebastiano), 1947-

Contributor:

Bunke, Horst.

Wang, Patrick S-P. (Patrick Shen-pei)

Series:

Series in machine perception and artificial intelligence ; vol. 28.

Series in machine perception and artificial intelligence ; vol. 28

Language:

English

Subjects (All):

Check collection systems--Data processing.

Check collection systems.

Clearinghouses (Banking).

Physical Description:

1 online resource (390 p.)

Place of Publication:

Singapore ; River Edge, N.J. : World Scientific, c1997.

Language Note:

English

Summary:

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 cont

Contents:

CONTENTS; PREFACE; AUTOMATIC BANKCHECK PROCESSING: A NEW ENGINEERED SYSTEM; 1. INTRODUCTION; 2. SYSTEM OVERVIEW; 3. MACHINE-PRINTED NUMERAL RECOGNITION MODULE; 4. LAYOUT PROCESSING MODULE; 4.1. The Binarization Module; 4.2. The Guideline-Removal Module; 4.2.1. The controlled deletion strategy for guideline removal; 4.2.2. Mathematical Morphology for guideline removal; 5. COURTESY AMOUNT RECOGNITION MODULE; 5.1. The Courtesy Amount Segmentation Module; 5.1.1. The ""drop-falling"" algorithms; 5.1.2. The ""contour-based"" algorithm; 5.2. The Isolated Digit Recognition Module

5.2.2. Combination and validation of the isolated digit recognizers5.3. Exploitation of the Contextual Knowledge; 6. LEGAL AMOUNT RECOGNITION MODULE; 6.1. Exploitation of the Contextual Knowledge; 6.2. The Fully-Analytical Algorithm; 6.3. The Mixed Algorithm; 6.4. The Fully-Global Algorithm; 7. THE AMOUNT VALIDATION MODULE; 8. SOFTWARE ENGINEERING OF THE SYSTEM; 9. EXPERIMENTAL RESULTS; 10. CONCLUSION; REFERENCES; THE A2iA INTERCHEQUE SYSTEM: COURTESY AMOUNT AND LEGAL AMOUNT RECOGNITION FOR FRENCH CHECKS; 1. INTRODUCTION; 2. KEY IDEAS OF THE SYSTEM; 2.1. Basic Principles

2.1.1. Performance measures2.1.2. Optimizing the probability distribution of a candidate list; 2.1.3. Role of prior probabilities; 3. OVERVIEW OF THE CHECK RECOGNITION SYSTEM; 4. CHECK DATA BASES; 5. THE RECOGNITION SYSTEM; 5.1. Extraction of the Amount Images; 5.1.1. Locating and cleaning the courtesy amount field; 5.1.2. Locating and cleaning the legal amount field; 5.2. Slant Correction and Lower-Case Zone Detection; 5.3. Segmentation; 5.3.1. Segmentation of the courtesy amount; 5.3.2. Segmentation of the legal amount into graphemes; 5.3.3. Segmentation of the legal amount into words

5.4. Character Recognition5.4.1. Feature extraction; 5.4.2. Bayes classifier; 5.4.3. Template-based classifier; 5.4.4. Neural network classifier; 5.5. Word Recognition; 5.5.1. Model-discriminant analytic word recognition; 5.5.2. Holistic word recognition; 5.6. Combination of Complementary Methods; 5.7. Amount Recognition; 5.7.1. Courtesy amount recognition (CAR); 5.7.2. Legal amount recognition (LAR); 5.7.3. Combination of the two recognition chains; 5.8. Final Decision; 6. AN INDUSTRIAL APPLICATION; 7. CONCLUSIONS; 8. ACKNOWLEDGMENTS; REFERENCES

A PROTOTYPE FOR BRAZILIAN BANKCHECK RECOGNITION1. INTRODUCTION; 2. BRAZILIAN BANKCHECKS AND THEIR CHARACTERISTICS; 3. BANKCHECK INFORMATION EXTRACTION; 3.1. Image Acquisition and Information Identification; 3.2. Position Adjustment; 3.3. Printed Information Image Generation; 3.4. Background and Printed Information Elimination; 3.5. Morphological Filtering; 3.6. Information Extraction; 4. DIGIT AMOUNT RECOGNITION; 4.1. Numeral Amount Segmentation; 4.2. Image Preprocessing; Skeletonization; Dilation; Size Normalization; 4.3. Feature Extraction; 4.4. Numeral Classification

5. STATIC SIGNATURE VERIFICATION

Notes:

Description based upon print version of record.

Includes bibliographical references.

ISBN:

9789812797681

9812797688