Titlebook: Advances in Biometrics; International Confer David Zhang,Anil K. Jain Conference proceedings 2005 Springer-Verlag GmbH Germany, part of Spr

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https://doi.org/10.1057/9780230373280rincipal component analysis (PCA) and linear discriminant analysis (LDA). Our experiments are based on the CASIA 3D Face Database, a challenging database with complex variations. The experimental results show that DCV is superior to the other two methods.

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https://doi.org/10.1007/978-3-662-39964-4ifier. However, conventional AdaBoost is a sequential forward search procedure using the greedy selection strategy, the weights of weak classifiers may not be optimized. To address this issue, we proposed a novel Genetic Algorithm post optimization procedure for a given boosted classifier, which yields better generalization performance.

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Iselin Frydenlund,Michael Jerrysone errors made by the computerized system. More over, the study showed that the ability of human guard to recognize a human face is a function of hair: false acceptance rate was significantly higher for the images where the hair was removed compared to where it was present.

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