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Research Of The Fuzzy Fingerprint Recognition Algorithms Based On Morphology

Posted on:2015-08-17Degree:MasterType:Thesis
Country:ChinaCandidate:G W KangFull Text:PDF
GTID:2298330422986297Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
The importance of fingerprint was earliest known by china. In Tang Dynasty,people was compelled to press their fingerprint in paper. Even we knew fingerprintfor a long time, but we didn’t expanded this technology widely due to some limits.However, modern since has prompt this technology fast applied into our life.General process of the fingerprint identification technology mainly includefingerprint pretreatment, feature extraction and fingerprint matching.Pretreatmentof the fingerprint image include fingerprint image Smoothing, calculation directionfigure, image segmentation, image enhancement, binary image and refined. Thepurpose of the fingerprint image enhancement is to avoid false charactersinformation generated by the image, ensure the accuracy and reliability of thedetails of the feature extraction. The purpose of fingerprint image thinning is toextract image feature points and to finish the subsequent work.Now, the technology of fingerprint has developed into a relatively maturestage, but there still are many problems waiting to be solved and optimized. Theseproblems prevalently exists in many phase of fingerprint recognition,such asfingerprint acquisition,fingerprint pre-processing, fingerprint feature pointextraction and fingerprint matching. Based on the description of mean streamfingerprint recognitions, three optimizing methods are proposed in the procedure offinger point pre-processing, finger point division and finger point matchingrespectively in order to solve the common problems in daily life.The algorithm in this paper is complished by four steps which are reflectedrespectively from chapter three to chapter six. Every chapter has one completealgorithm, representing one step of finger point recognition algorithm, and thecombination of these four algorithms will be complete algorithm.In this thesis, experiments have been done in the PC of software MATLAB and experiment results indicate that the fingerprint verification algorithm is moreeffective, feasible and it achieves the desired results.
Keywords/Search Tags:Fingerprint identification, Morphology, Feature extraction, Fingerprint match
PDF Full Text Request
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