Abstract
Secure access control is a key issue in banking services. Magnetic cards and personal identification numbers, currently adopted for accessing automatic tellers, do not provide a sufficient degree of security and are likely a source for unauthorized operations. As far as the access to restricted areas is concerned, it usually requires direct surveillance by guards or indirect surveillance by a human operator through a monitoring system. It is often difficult, due to fatigue or other distracting factors, to guarantee continuous and high performance in this task. The VIRSBS Reactive LTR project faces the problem of the automatic detection of person's identity by using advanced computer vision techniques. The goal of the VIRSBS project is to realize a prototype autonomous station for personal identification. This station will include all the features required to be integrated into a new generation of automated security check-point along corridors, passageways or access doors, and in the next-generation of automatic teller machines. This prototype will be used to perform a significant set of statistical tests on personal identification.
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Keywords
- Face Recognition
- Personal Identification
- Visual Recognition
- Personal Identification Number
- Banking Service
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1997 Springer-Verlag Berlin Heidelberg
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Tistarelli, M., Grossog, E., Bigun, I., Sacerdoti, C., Santos-Victor, J., Vernon, D. (1997). The VIRSBS project: Visual intelligent recognition for secure banking services. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63508-4_189
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DOI: https://doi.org/10.1007/3-540-63508-4_189
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