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- W2294626106 abstract "In today's world, biometrics system is used almost everywhere for the security and personal recognition. The palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. Palmprint classification provides an important indexing mechanism in a palmprint database. An accurate and consistent classification can greatly reduce palmprint matching time for a large database. We propose a palmprint classification algorithm which is able to classify palmprints into ten evenly-distributed categories (1, 2, 3, 4, 6, A, B, C, D, and E). The algorithm uses a novel representation and is based on a two-stage classifler to make a classification." @default.
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- W2294626106 date "2006-10-01" @default.
- W2294626106 modified "2023-10-14" @default.
- W2294626106 title "Palmprint Classification" @default.
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- W2294626106 doi "https://doi.org/10.1109/icsmc.2006.384569" @default.
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