Abstract
The area of security of biometric access control systems is a rapidly growing field of scientific studies, diversely applicable in banking, electronic payment, etc. The paper presents the implementation of an intelligent algorithm hybrid biometric identification with the use of VistaFA2, IriTech and Futronic scanners. The system uses the biometric reading of human iris, face and fingerprints. An intelligent module determines a similarity measure of a processed hybrid feature vector to the consecutive records in the access database. This approach helps to increase the reliability of identification systems and reduces the risk of counterfeits and intrusion into restricted access resources.
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Acknowledgment
The research and experiments were conducted in the Laboratory of Cognitive Science Research, Computer Graphics and Digital Image Processing Laboratory and Real Time Diagnostic Systems Laboratory at the Centre for Innovation and Transfer of Natural Sciences and Engineering Knowledge, University of Rzeszow as a result of EU project “Academic Centre of Innovation and Technical-Natural Knowledge Transfer” based on “Regional Operational Program for Subcarpathian Voivodship for years 2007–2013” Project No. UDA-RPPK.01.03.00-18-001/10-00.
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Gomolka, Z., Twarog, B., Zeslawska, E. (2019). The Implementation of an Intelligent Algorithm Hybrid Biometric Identification for the Exemplary Hardware Platforms. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Contemporary Complex Systems and Their Dependability. DepCoS-RELCOMEX 2018. Advances in Intelligent Systems and Computing, vol 761. Springer, Cham. https://doi.org/10.1007/978-3-319-91446-6_22
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DOI: https://doi.org/10.1007/978-3-319-91446-6_22
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