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A 3D face recognition method is proposed. For feature extraction, 3D point set is divided into number of slices to be projected on the central planes parallel to the slices. Feature vectors are formed by approximating best fitting polynomials for data on the planes. A multimodal approach in the score level and corresponding distance metrics for both unimodal and multimodal cases are presented.
Biometric information saved as templates in databases and being transmitted through insecure channels requires more secure and reliable means of protection. The proposed method of watermarking enhances the security of even unencrypted version of biometric data. Besides the protected template itself has to be accurate, invariant to translations, rotations, scaling and deformations as well as computationally...
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