Optimization of Filter Parameters for Iris Detection

被引:0
作者
Varshney, Amulya [1 ,2 ]
Rani, Asha [1 ,2 ]
Singh, Vijander [1 ,2 ]
机构
[1] NSIT, Instrumentat & Control Engn Div, Sec 3, New Delhi, India
[2] Univ Delhi, Delhi, India
来源
2015 4TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (ICRITO) (TRENDS AND FUTURE DIRECTIONS) | 2015年
关键词
Biometrics; Iris; Gabor filter; Optimization; RECOGNITION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Biometric system furnishes automatic recognition of a person based on theuniquecharacteristics. Iris identification is one of the most authentic methods of biometric identification. Many iris realization system algorithms are developed which are capable to get good identification rates. But the outputs are obtained under favorable conditions only like input images are captured by same camera and having same characteristics like fixed zoom factor with same distance and fixed illumination. The present work is based on sensing, feature extraction and matching. Theparameters (wavelength and angle theta) of the filter, used for feature extraction are optimized by using Genetic Algorithm so that the presented signal to noise ratio in an image reduce. The proposed method is examined on several images using CASIA database version 1.0. The experimental results demonstrate the effectiveness of proposed approach as the overall success is higher than the previous methods.
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页数:6
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