Image-Recognition Technologies towards Advanced Automated Teller Machines

  • Authors:
  • Hiroshi Sako;Takafumi Miyatake

  • Affiliations:
  • Hitachi, Ltd., Tokyo, Japan;Hitachi, Ltd., Tokyo, Japan

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
  • Year:
  • 2004

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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.