摘要
对于不完美的个人身份鉴别,高精度的虹膜区域分割有助于后面的特征提取和分类识别。不同光照下虹膜的边界定位适于采用微积分方法,但是这种方法容易受到光源像点的影响,使得定位失败,并存在实时性差的问题。本文采用亮点梯度检测方法消除光源像点干扰问题,通过瞳孔位置估计提高微积分定位快速性。仿真结果表明,本文算法对于不同光照下虹膜的边界定位是有效的。
For personal identification based on imperfect irises,accurate iris segmentation is helpful to the feature extraction,classification and identification. The integral-differential method can be used to locate the iris boundaries in eye-images under different illumination cenditions. Iris boundary localization based on integral-differential method is modified to improve the localization success rates and the localization speed by eliminating light spots interference and using pupil the position estimation. Simulation results show that the modified algorithm is effective for iris boundary localization under different illumination conditions.
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2006年第4期488-492,共5页
Journal of Optoelectronics·Laser
基金
国家自然科学基金资助项目(60372085)
太原科技大学青年科技研究基金资助项目(2004008)
陕西省科学技术研究发展计划资助项目(2003K06-G15)
关键词
虹膜识别
虹膜边界定位
微积分方法
不同光照
iris recognition
iris boundary Iocalization
integral
differential method
different illumination
