DocumentCode :
3440134
Title :
Image-recognition technologies towards advanced automated teller machines
Author :
Sako, Hiroshi ; Miyatake, Takafumi
Author_Institution :
Central Res. Lab., Hitachi Ltd., Tokyo, Japan
Volume :
3
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
282
Abstract :
Several image-recognition techniques that can provide the important functions required by advanced-intelligent automated teller machines (AI-ATMs) are described. These functions are (1) basic cash handling such as withdrawal and deposit of money, (2) handling remittance forms and cheques, (3) delivering information as an "information KIOSK", and (4) security maintenance such as identification of users and surveillance of the ATM environment. The image-recognition techniques for realising these AI-ATM functions are (1) banknote image processing, (2) form processing and character recognition, (3) intention recognition, and (4) biometric techniques.
Keywords :
automatic teller machines; bank data processing; biometrics (access control); character recognition; image recognition; ATM; advanced intelligent automated teller machines; automated teller machines; banknote image processing; biometric techniques; cash handling; character recognition; cheques; form processing; image recognition technology; information KIOSK; intention recognition; remittance form handling; security maintenance; Biometrics; Character recognition; Design engineering; Face recognition; Guidelines; Image processing; Image recognition; Information security; Inspection; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334522
Filename :
1334522
Link To Document :
بازگشت