OcrV1, PascalFrancis, Checkpoint, bibRecord, 000998

Optical character recognition for self-service banking

Identifieur interne : 000998 ( PascalFrancis/Checkpoint ); précédent : 000997; suivant : 000999

Optical character recognition for self-service banking

Auteurs : L. D. Jackel [États-Unis] ; D. Sharman ; C. E. Stenard ; B. I. Strom ; D. Zuckert

Source :

AT&T technical journal [ 8756-2324 ] ; 1995.

RBID : Pascal:95-0521676

Descripteurs français

Pascal (Inist)
- Reconnaissance forme, Reconnaissance automatique, Traitement caractère, Reconnaissance caractère, Système bancaire, Système optique, Réseau neuronal.
Wicri :
- topic : Système bancaire.

English descriptors

KwdEn :
- Automatic recognition, Bank system, Character processing, Character recognition, Neural networks, Optical systems, Pattern recognition.

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.

Affiliations:

États-Unis

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Pascal:95-0521676

Le document en format XML

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Optical character recognition for self-service banking

Optical character recognition for self-service banking

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri