Abstract
Biometrics, the computer-based validation of persons’ identity, is becoming more and more essential due to the increasing demand for high-security systems. A biometric system testifies the authenticity of a specific physiological or behavioral characteristic possessed by a user. New requirements over actual biometric systems as robustness, higher recognition rates, tolerance for imprecision and uncertainty, and flexibility call for the use of new computing technologies. In this context soft-computing is increasingly being used in the development of biometric applications. Soft-Biometrics correspond to a new emerging paradigm that consists in the use of soft-computing technologies for the development of biometric applications. The aim of this paper is to motivate discussions on application of soft-computing approaches in specific biometric measurements. The feasibility of soft-computing as a tool-set for biometric applications should be investigated.
Rem.: The presentation of two 100% identical feature sets indicates fraud.
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Franke, K., Ruiz-del-Solar, J. (2002). Soft-Biometrics: Soft-Computing Technologies for Biometric-Applications. In: Pal, N.R., Sugeno, M. (eds) Advances in Soft Computing — AFSS 2002. AFSS 2002. Lecture Notes in Computer Science(), vol 2275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45631-7_24
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DOI: https://doi.org/10.1007/3-540-45631-7_24
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