Iris Recognition Method Based on Support Vector Machine and Hamming Distance
[1]ZHANG Zhen,ZHANG Ying-jie.Iris Recognition Method Based on Support Vector Machine and Hamming Distance[J].Journal of Zhengzhou University (Engineering Science),2015,36(03):25-29.[doi:10.3969/j.issn.1671-6833.2015.03.006]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
36
Number of periods:
2015 03
Page number:
25-29
Column:
Public date:
2015-06-30
- Title:
- Iris Recognition Method Based on Support Vector Machine and Hamming Distance
- CLC:
- TP391
- Abstract:
- In order to solve the problem of traditional iris recognitions focusing on feature extraction,a newmethod focusing on pattern matching was proposed,which was named iris recognition method using supportvector machine ( SVM) and Hamming distance.Firstly,normalization was used to process the iris positionwhich was located in the eye images.And then Log-Gabor filter was used to extract the features. After obtai-ning iris feature codes,SVM and Hamming distance were used to classify the iris features. Experiment resultson the CASIA iris database showed that recognition rate of this method reached 99.63%,false acceptance rateand false rejection rate were reduced to 0.02% and 0.35% compared to the classical recognition methods.
- References:
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