Iris Feature Extraction Algorithm Based on Energy Compensation and Feature Weighting
Lintao Lv · Jisuanji gongcheng · 2012
【Abstract】This paper proposes an iris feature extraction algorithm based on energy compensation and feature weighting to solve the problems that the capacities of the feature extraction with different sub-band of the Contourlet transformation are different. It uses orthogonal images to achieve energy compensation for the original images, estimates the weights of sub-bands by using General Gaussian Distribution(GGD), and gives larger weight for the feature with better classification capacity, so that the statistical information of the samples is made full use of and the features are extracted efficiently. Experimental results show that the algorithm has good robustness and improves iris recognition rate. 【Key words】Contourlet transformation; iris feature extraction; energy compensation; feature weighting; General Gaussian Distribution(GGD) DOI: 10.3969/j.issn.1000-3428.2012.01.052 计 算 机 工 程 Computer Engineering 第 38卷 第 1期 Vol.38 No.1 2012年 1月 January 2012