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The Feather Extraction Research Of Identity Recognition Based On Face And Fingerprint

Posted on:2007-09-20Degree:MasterType:Thesis
Country:ChinaCandidate:J XuFull Text:PDF
GTID:2178360185978226Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
As the development of Internet and information-based technologies, recognize a person's identity accurately is a necessary problem. Technologies of identity recognition based on biometrics such as people's characters have more security, reliability and validity compared with the traditional identity recognition method. Face recognition system is friendly and has the currency device, but the recognizing rate is relatively low. The recognizing rate of fingerprint recognition is relatively high, but the device for catching the fingerprint image is special, and the working speed is slow especially for the big data-base. Identity recognition system based on single biometrics has disadvantage in practice, and just satisfies some facts, so technologies of identity recognition based on multi-biometrics that combine kinds of human characters have been got a certain extent research.This dissertation research on the feather extracting algorithm of the technologies of identity recognition based on multi-biometrics which is face recognition combined with fingerprint recognition. First pre-process the face image and localize the eyes, then normalize the face image based on the location of eyes, and extract the face feather using the independent component analysis algorithm combined with the principal component analysis algorithm to reduce the face image dimension; Attempt a direct gray scale minutiae detection approach based on ridgeline following to extract fingerprint feather, it will overcome the shortcoming of traditional method which would bring in false feathers during the binarization and thinning, and make some improvement such as the fingerprint image enhancement, direction field, stop criteria of ending point. Experiments show that the face feather and the fingerprint feather is more accurate, more suitable for classify, and decreases the complexity of the algorithm, and improve the accuracy and the operating speed of the multi-biometrics system.
Keywords/Search Tags:multi-biometrics recognition, feather extract, independent component analysis, ridgeline following
PDF Full Text Request
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