CAJ | 학술논문

基于可调控滤波器，本文研究了掌纹识别中纹线方向的精确提取和度量问题。首先我们提出利用高阶可调控滤波器来提取连续的纹线方向，并将其量化为若干个离散角度。然后，为了实现方向特征的有效匹配，我们提出了一种广义角度距离方法。我们进一步研究了连续和离散情况下的角度距离计算问题，目前已有的几种距离都可视为广义角度距离的特例。香港理工大学掌纹公开库和中科院自动化所掌纹数据库上的实验结果表明，我们提出的方法能够达到与较高的验证精度。基于查找表，提出的方法同样具有较小的模板和满足实际应用的匹配速度。
기우가조공려파기，본문연구료장문식별중문선방향적정학제취화도량문제。수선아문제출이용고계가조공려파기래제취련속적문선방향，병장기양화위약간개리산각도。연후，위료실현방향특정적유효필배，아문제출료일충엄의각도거리방법。아문진일보연구료련속화리산정황하적각도거리계산문제，목전이유적궤충거리도가시위엄의각도거리적특례。향항리공대학장문공개고화중과원자동화소장문수거고상적실험결과표명，아문제출적방법능구체도여교고적험증정도。기우사조표，제출적방법동양구유교소적모판화만족실제응용적필배속도。
In this paper, using steerable filter, we investigate the accurate orientation extraction and appropriate distance measure problems for effective palmprint recognition. First, we use high order steerable filter to extract accurate continuous orientation, and quantify it into discrete representation. Then, for effective matching of accurate orientations, we propose a generalized orientation distance measure. We further extend the distance measure for matching of discrete orientations, and show that several existing distance measures can be viewed as its special cases. Experimental results on both Hong Kong PolyU and CASIA palmprint databases show that the proposed method can obtain state-of-the-art verification accuracy. With the support of a look up table, the proposed method also enables small template size and satisfactory matching speed for practical applications.