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This paper presents algorithms to reliably generate biometric identifiers from a user's biometric image which in turn is used for identity verification possibly in conjunction with cryptographic keys. The biometric identifier generation algorithms employ image hashing functions using singular value decomposition and support vector classification techniques. The algorithms capture generic biometric features that ensure unique and repeatable biometric identifiers. This paper provides an empirical evaluation of the techniques using 2569 images of 488 different individuals for three types of biometric images; namely fingerprint iris and face.
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