Share Email Print

Proceedings Paper

Technologies for developing an advanced intelligent ATM with self-defence capabilities
Author(s): Hiroshi Sako
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

We have developed several technologies for protecting automated teller machines. These technologies are based mainly on pattern recognition and are used to implement various self-defence functions. They include (i) banknote recognition and information retrieval for preventing machines from accepting counterfeit and damaged banknotes and for retrieving information about detected counterfeits from a relational database, (ii) form processing and character recognition for preventing machines from accepting remittance forms without due dates and/or insufficient payment, (iii) person identification to prevent machines from transacting with non-customers, and (iv) object recognition to guard machines against foreign objects such as spy cams that might be surreptitiously attached to them and to protect users against someone attempting to peek at their user information such as their personal identification number. The person identification technology has been implemented in most ATMs in Japan, and field tests have demonstrated that the banknote recognition technology can recognise more then 200 types of banknote from 30 different countries. We are developing an "advanced intelligent ATM" that incorporates all of these technologies.

Paper Details

Date Published: 18 January 2010
PDF: 11 pages
Proc. SPIE 7534, Document Recognition and Retrieval XVII, 75340E (18 January 2010); doi: 10.1117/12.838724
Show Author Affiliations
Hiroshi Sako, Hitachi, Ltd. (Japan)

Published in SPIE Proceedings Vol. 7534:
Document Recognition and Retrieval XVII
Laurence Likforman-Sulem; Gady Agam, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?