Optical Character Recognition for Self-Service Banking

Abstract: 

Self-service automatic teller machines (ATMs) have dramatically altered the ways in which customers interact with banks. ATMs provide the convenience of completing some banking transactions remotely and at any time. AT&T Global Information Solutions (GIS) is the world's leading provider of ATMs. These machines support such familiar services as cash withdrawals and balance inquiries. Further technological development has extended the utility and convenience of ATMs produced by GIS by facilitating check cashing and depositing, as well as direct bill payment, using an on-line system. These enhanced services, discussed in this paper, are made possible primarily through sophisticated optical character recognition (OCR) technology. Developed by an AT&T team that included GIS, AT&T Bell Laboratories Quality, Engineering, Software, and Technologies (QUEST), and AT&T Bell Laboratories Research, OCR technology was crucial to the development of these advanced ATMs.

This publication has been peer reviewed.
Publication Type: 
Journal Article
Authors: 
Lawrence D. Jackel
David Sharman
Charles E. Stenard
B. Ivan Strom
Derek Zuckert
Year of Publication: 
1995
Journal, Book, Magazine or Other Publication Title: 
Bell Labs Technical Journal
Volume: 
74
Issue: 
4
Edition: 
July-August 1995
Pages: 
16-24
Date Published: 
Saturday, July 8, 1995
Publication Language: 
English
DOI: 
10.1002/j.1538-7305.1995.tb00189.x

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