摘要
首先通过灰度投影法确定坐标转换原点,将直角坐标下的虹膜内外边缘圆转换成极坐标下的类直线,再引入辅助校正点手段定位虹膜的内边缘和圆心.利用改进Canny算子及曲线拟合定位虹膜的外边缘及圆心,提高了虹膜定位的精确度.实验结果表明:该算法具有较强的鲁棒性,能较好地定位质量不高的虹膜图像,且虹膜定位时间平均为0.1 s,适用于实时虹膜图像识别.
The inner and the outer edges of an iris image in the Cartesian coordinates are transformed into origin of the coordinate transformation being roughly el pixel values. Then the inner circular edge and its center of some specially chosen auxiliary points. After contrast enhancement and smoothing preprocessing, the outer edge is located with an improved Canny operator and a curve fitting technique. Experimental results show that the performance of the proposed algorithm is superior over the traditional method based on line detection, and the average time for iris location is 0.1 second, a satisfactory rate for real-time iris recognition.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2006年第8期1155-1159,共5页
Journal of Computer-Aided Design & Computer Graphics
基金
广东省博士启动基金(04300851)
深圳市科技局资助基金(200332)
关键词
虹膜定位
圆检测
直线检测
模式识别
iris location
circle detection
line detection
pattern recognition
