计算机工程与科学2011，Vol.33Issue(1)：77-81,5.DOI:10.3969/j.issn.1007-130X.2011.01.015
用于虹膜识别的轮廓波特征提取
Contourlet Feature Extraction for Iris Recognition
摘要
Abstract
In view of the limitation of poor direction selectivity about wavelet transform and iris image having rich texture features, an iris feature extraction method based on contourlet transform for obtaining high quality features is proposed in the paper.First of all, the preprocessed iris image is decomposed by contourlet, then, according to the information that high and low frequency sub-bands represent, it adopts different extraction ways, both the mean and variance of low frequency sub-band coefficients and the energy of high frequency sub-band coefficients are extracted to be the feature vectors.Finally, it carries the test on CASIA Ver1.0 and MMU iris databases with SVMs and Hamming distances.Compared with the feature extraction method based on the Harr wavelet and discrete cosine transform,the proposed method can achieve better performance.关键词
特征提取/轮廓波变换/虹膜识别/子带能量Key words
feature extraction/ contourlet transform/ iris recognition/ sub-band energy分类
计算机与自动化引用本文复制引用
罗忠亮,林土胜,李碧,杨军,张地..用于虹膜识别的轮廓波特征提取[J].计算机工程与科学,2011,33(1):77-81,5.基金项目
国家自然科学基金资助项目(60472006,60772117,60972136) （60472006,60772117,60972136）
广州市科技计划项目(2009J1-C401) （2009J1-C401）
