An Iris Recognition Algorithm of Multiple Features Extraction and Fusion

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An Iris Recognition Algorithm of Multiple Features Extraction and Fusion

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[1]Zhang Zhen,Liu Bo,Li Long.An Iris Recognition Algorithm of Multiple Features Extraction and Fusion[J].Journal of Zhengzhou University (Engineering Science),2017,38(01):63-.[doi:10.13705/j.issn.1671-6833.2017.01.004]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 38 Number of periods: 2017 01 Page number: 63- Column: Public date: 2017-02-24

Title:: An Iris Recognition Algorithm of Multiple Features Extraction and Fusion

Author(s):: Zhang Zhen; Liu Bo; Li Long; School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan 450001

Keywords:: iris recognition; multiple feature extraction; Log-Gabor filter; Haar wavelet; feature fusion

CLC:: -

DOI:: 10.13705/j.issn.1671-6833.2017.01.004

Abstract:: In this paper,an iris recognition method of multiple features extraction and fusion was proposed,which was different from the classical iris recognition methods that focused on a single texture feature.Firstly,the collected iris images were preprocessed.Secondly,features of the iris were extracted by using Log-Gabor filter and Haar wavelet respectively,and two similarity values were calculated by adopting Hamming Distance and Weighted Euclidean Distance.Finally,the Support Vector Machine was used to fuse the values of similarity and classify.The experimental results verified that the proposed method is effective and a higher recognition rate was achieved.

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