Abstract
Biometric security systems are employed as authenticating devices in several firms and organizations possessing restricted zones within their campus. Biometric systems are also used as electronic attendance registers in various institutes and organizations. Pattern recognition is one of the main constituents of biometric systems. Support vector machine (SVM) is one of the state-of-the-art tools for linear and nonlinear pattern classification. In this paper, design of a SVM-based biometric security system using speech and face as inputs are discussed. Details about the performance of the proposed system for speech and face recognition are reported in this paper. The proposed biometric system as well as approaches can be extended for fingerprint and iris recognition too.
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Acknowledgment
The authors would like to thank Dr. K.N.B. Murthy, Principal and Director, PESIT, Bangalore, for his support.
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Manikandan, J., Agrawal, V.K., Venkataramani, B. (2014). Design of a Biometric Security System Using Support Vector Machine Classifier. In: Mohapatra, D.P., Patnaik, S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, vol 243. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1665-0_16
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DOI: https://doi.org/10.1007/978-81-322-1665-0_16
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