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We investigate in this paper the problem of estimating human ages from gait signatures. To our knowledge, this problem has not been formally addressed in the literature. Estimating human ages at a distance has a number of potential applications, including visual surveillance and monitoring in such public places as airports, railway stations, shopping malls, and various building entrances. Motivated...
We propose in this paper a novel supervised manifold learning algorithm, called uncorrelated multilinear geometry preserving projections (UMGPP), incorporating both the Fisher criterion and manifold criterion to learn multiple interrelated subspaces in an iterative manner for efficient multimodal biometric recognition. In contrast to the existing GPP algorithm, UMGPP learns multiple feature subspaces...
In this paper, we propose an information fusion-based palmprint recognition method. Firstly, three different kinds of palmprint features including texture, principal line and appearance features are extracted using 2D Gabor phase encoding, the modified finite Radon transform (MFRAT) and orthogonal discriminant locality preserving projections (ODLPP), respectively. Then, Hamming distance, pixel-to-area...
In this paper, a novel method using wavelet decomposition and 2D Principal component analysis (2DPCA) for palmprint recognition is presented. Firstly, 2D wavelet transform is adopted to obtain different level of wavelet coefficients of the original palmprint image; secondly 2DPCA is applied on the low-frequency that contains most discrimination information of the original palmprint image. One criterion...
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