CAJ | 학술논문

针对Gabor滤波器在数据截断时存在频谱泄露而使滤波通道边缘模糊的现象,本文利用适应性强且性能灵活可调的Kaiser函数,构造具有频率和方向选择性、且边缘清晰的Kaiser滤波通道,提取虹膜频率特征.通过对提取的特征进行幅值分段分析,发现虹膜特征存在一个"有效特征阈值"L,幅值高于L的特征能够有效识别虹膜,而幅值低于L的特征为不相关噪声.采用噪声抑制优化,对噪声特征设置"相位无效码",可以优化海明距离,提高同类虹膜的正确匹配率.实验表明:与Gabor滤波方法相比,本文基于Kaiser滤波的优化方法将虹膜的正确识别率由98.6%提高到99.9%,而且在锚误接受率(EAR)为0的情况下,具有更低的错误拒绝率(ERR).
침대Gabor려파기재수거절단시존재빈보설로이사려파통도변연모호적현상,본문이용괄응성강차성능령활가조적Kaiser함수,구조구유빈솔화방향선택성、차변연청석적Kaiser려파통도,제취홍막빈솔특정.통과대제취적특정진행폭치분단분석,발현홍막특정존재일개"유효특정역치"L,폭치고우L적특정능구유효식별홍막,이폭치저우L적특정위불상관조성.채용조성억제우화,대조성특정설치"상위무효마",가이우화해명거리,제고동류홍막적정학필배솔.실험표명:여Gabor려파방법상비,본문기우Kaiser려파적우화방법장홍막적정학식별솔유98.6%제고도99.9%,이차재묘오접수솔(EAR)위0적정황하,구유경저적착오거절솔(ERR).
2D Kaiser filters with selective frequencies,selective orientations as well as changeable channels were constructed to extract iris features.The features were divided into several parts based on their amplitudes,and analysis of all the parts show that there is an 'effective amplitude threshold'(L)hiding in the iris features.The features with amplitudes bigger than L can achieve effective iris recognition,while those with amplitudes smaller than L are uncorrelated noises.By setting the noise features as "invalid codes",we optimized Hamming distance and improved the correct matching rate of same pairs of irises.Results show that compared with Gabor method,the optimization method improves the fight recognition rate from 98.6% up to 99.9 % and has a null fault acceptance rate with lower fault rejection rate.