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Hybrid multi biometric person authentication system

In this paper, the authors present a hybrid multibiometric authentication person system that integrates both multi modal and multi algorithmic. Multi-modal, the system using face and fingerprint features, has long been considered common in personal authentication. Multi-algorithm is the system which uses Circularly Orthogonal Moments, such as Zernike Moment (ZM), Pseudo Zernike Moment (PZM), Polar Cosine Transform (PCT) and Radial Basis Function (RBF) Neural Networks. These moments are widely used because their magnitudes are invariant to image rotation, scaling and noise. | Proceedings of the World Congress on Engineering and Computer Science 2012 Vol I WCECS 2012, October 24-26, 2012, San Francisco, USA Hybrid Multi-Biometric Person Authentication System Tran Binh Long, Le Hoang Thai Abstract—In this paper, the authors present a hybrid multibiometric authentication person system that integrates both multi modal and multi algorithmic. Multi-modal, the system using face and fingerprint features, has long been considered common in personal authentication. Multi-algorithm is the system which uses Circularly Orthogonal Moments, such as Zernike Moment (ZM), Pseudo Zernike Moment (PZM), Polar Cosine Transform (PCT) and Radial Basis Function (RBF) Neural Networks. These moments are widely used because their magnitudes are invariant to image rotation, scaling and noise. With such incorporation of multi-modal and multialgorithms, our proposed system is expected to minimize the possibility of forge in authentication better than uni-biometric systems. In reference to this expectation, the experimental results have demonstrated that our method can assure a higher level of forge resistance than that of the systems using single biometric traits. Index Terms—Multi-biometrics, Personal Authentication, Face, Fingerprint, Circularly Orthogonal Moments. I. INTRODUCTION Biometrics refers to automatic identification of a person based on his physiological or behavioral characteristics [1],[2]. Thus, it is inherently more reliable and more capable of differentiating between an authorized person and a fraudulent imposter [3]. Biometric-based personal authentication systems have gained intensive research interest for the fact they are more secure and more convenient than traditional systems which use passwords, pin numbers, key cards and smart cards [4] in that they can‟t be borrowed, stolen or even forgotten. Currently, there are different biometric techniques either widely-used or under development, including face, facial thermo-grams, fingerprint, hand