Palm Print Edge Extraction Using Fractional Differential Algorithm | Zendy

Chunmei Chi | Zendy; Feng Gao | Zendy

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Palm Print Edge Extraction Using Fractional Differential Algorithm

Author(s) -

Chunmei Chi,

Feng Gao

Publication year - 2014

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2014/896938

Subject(s) - palm print , enhanced data rates for gsm evolution , algorithm , mathematics , differential (mechanical device) , function (biology) , extraction (chemistry) , filter (signal processing) , noise (video) , fractional calculus , palm , computer science , artificial intelligence , pattern recognition (psychology) , image (mathematics) , computer vision , mathematical analysis , physics , biometrics , chromatography , chemistry , evolutionary biology , biology , thermodynamics , quantum mechanics

Algorithm based on fractional difference was used for the edge extraction of thenar palm print image. Based on fractional order difference function which was deduced from classical fractional differential G-L definition, three filter templates were constructed to extract thenar palm print edge. The experiment results showed that this algorithm can reduce noise and detect rich edge details and has higher SNR than traditional methods

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