Abstract

http://ssrn.com/abstract=489783
 
 

References (37)



 


 



Handwritten Bank Check Recognition of Courtesy Amounts


Rafael Palacios


Pontifical University Comillas of Madrid

Amar Gupta


Pace University - The Seidenberg School of Computer Science and Information Systems

Patrick S.P. Wang


Northeastern University - College of Computer and Information Science

January 2004

MIT Sloan Working Paper No. 4461-04; Eller College Working Paper No. 1017-05

Abstract:     
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

working papers series


Download This Paper

Date posted: January 20, 2004  

Suggested Citation

Palacios, Rafael and Gupta, Amar and Wang, Patrick S.P., Handwritten Bank Check Recognition of Courtesy Amounts (January 2004). MIT Sloan Working Paper No. 4461-04; Eller College Working Paper No. 1017-05. Available at SSRN: http://ssrn.com/abstract=489783 or http://dx.doi.org/10.2139/ssrn.489783

Contact Information

Rafael Palacios (Contact Author)
Pontifical University Comillas of Madrid ( email )
Alberto Aguilera 21
Madrid, Madrid 28015
Spain
Amar Gupta
Pace University - The Seidenberg School of Computer Science and Information Systems ( email )
163 William Street
New York, NY 10038
United States
Patrick S.P. Wang
Northeastern University - College of Computer and Information Science ( email )
360 Huntington Avenue
Boston, MA 02115
United States
617-373-3711 (Phone)
617-373-5121 (Fax)
HOME PAGE: http://www.ccs.neu.edu/home/pwang
Feedback to SSRN


Paper statistics
Abstract Views: 3,212
Downloads: 185
Download Rank: 94,934
References:  37

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo7 in 0.250 seconds