CAJ | 학술논문

提出一种有效的虹膜定位及睫毛检测方法.通过把眼睛图像中分割成小的矩形区域,利用找到的这些矩形区域像素平均最小值把眼睛图像进行二值化,找到虹膜区域的内边界;以瞳孔的质心为参考点,在其左右的扇形区域内分别使用修改后的Daugman的检测算子,找到像素值变换大的位置,进而定位出虹膜的外界;使用Gobor滤波器和窗口移动法对睫毛进行有效的检测.通过对大量虹膜图像的实验表明,该方法取得了非常好的结果.
제출일충유효적홍막정위급첩모검측방법.통과파안정도상중분할성소적구형구역,이용조도적저사구형구역상소평균최소치파안정도상진행이치화,조도홍막구역적내변계;이동공적질심위삼고점,재기좌우적선형구역내분별사용수개후적Daugman적검측산자,조도상소치변환대적위치,진이정위출홍막적외계;사용Gobor려파기화창구이동법대첩모진행유효적검측.통과대대량홍막도상적실험표명,해방법취득료비상호적결과.
An efficient algorithm on iris image localization and eyelash detection is presented.Firsdy,an eye image is divided into many small rectangular regions.Image binarization is implemented taking the smallest average intensity of the regions as a threshold.The inner boundary of the iris region is found.Then the centroid of the pupil is taken as a reference point.In the left and right sector regions of the centroid,the modified Daugman's detecting operator is utilized to search the sharp variation position of the intensity.Then the outer boundary of the iris region is located.At last,eyelash is detected by using Gobor filter and the shift window.After doing a great deal of experiments,the results show that the proposed method has an encouraging performance.