Efficient Feature Extraction Methodology using Wavelet Transform for the Development of Person Identification System using Iris Biometrics | Science Publications

Journal of Computer Science

Sulochana Sonkamble¹  Ravindra Thool¹ 

关键词: Iris normalization;    feature extraction;    Gabor wavelet transform;    person identification;    iris biometrics;    transform techniques;    feature vectors;    iris region;    recognition system;    proposed system;   

DOI  :  10.3844/jcssp.2011.1353.1357

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: We proposed a new method for feature extraction of an Iris image forpersonal identification system. Approach: This study purposed a new approach to extract the featuresof region of interest using the wavelet transform. The extracted Iris region could be normalizing into arectangular block of fixed dimensions. The Gabor wavelet transform techniques had been applied onthe data set to get feature vectors of an iris used for recognition. Results: Two Iris templates used fortesting. The system performance score results in a false accept and false reject rate. Conclusion: Theperformance of the system

【 授权许可】

Unknown