Handwritten Bank Check Recognition of Courtesy Amounts
Pontifical University Comillas of Madrid
Pace University - The Seidenberg School of Computer Science and Information Systems
Patrick S.P. Wang
Northeastern University - College of Computer and Information Science
MIT Sloan Working Paper No. 4461-04; Eller College Working Paper No. 1017-05
In spite of rapid evolution of electronic techniques, a number of large-scale applications continue to rely on the use of paper as the dominant medium. This is especially true for processing of bank checks. This paper examines the issue of reading the numerical amount field. In the case of checks, the segmentation of unconstrained strings into individual digits is a challenging task because of connected and overlapping digits, broken digits, and digits that are physically connected to pieces of strokes from neighboring digits. The proposed architecture involves four stages: segmentation of the string into individual digits, normalization, recognition of each character using a neural network classifier, and syntactic verification. Overall, this paper highlights the importance of employing a hybrid architecture that incorporates multiple approaches to provide high recognition rates.
Number of Pages in PDF File: 20
Keywords: Handwritten checks; Reading of unconstrained handwritten material; neural network
Date posted: January 20, 2004
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