摘要
基于虹膜识别的身份认证系统包括3部分:虹膜图像采集,虹膜图像预处理,虹膜图像编码和识别。预处理过程中对虹膜的精确定位,使定位后的虹膜图像具有平移、尺度和旋转的不变性。与现有其他方法相比,该方法将Symlets小波用于虹膜图像编码,使算法的运行速度大大提高,为Daugman方法的8倍, 克服了当前流行算法中计算量过大的问题。
A personal identification system based on iris recognition consists of three parts: iris image sampling, iris image preprocessing, iris image coding and recognition. Precision locating for iris in the process of preprocessing makes iris image have invariance in translation, size and rotation. Compared with the existing methods, the method applies Symplets wavelet to iris image coding and the operation speed of this algorithm is largely improved. The speed is 8 times of that of Daugman method and it solves the problem of too large calculation amount existed in the current algorithms.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2004年第1期69-71,共3页
Opto-Electronic Engineering
