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Hybrid multi biometric person authentication system

Chia sẻ: Hoàng Thi Thu | Ngày: | Loại File: PDF | Số trang:6

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Hybrid multi biometric person authentication system

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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.

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