摘要
虹膜识别认证系统由4部分组成。虹膜图像采集采用自行研制的非接触式虹膜图像采集装置,并加入虹膜图像质量评估模块选取清晰虹膜图像;预处理过程中采用Hough变换精确定位,归一化后的虹膜图像具有平移、尺度和旋转不变性;特征提取采用Daubechies-4小波变换对图像进行4层小波分解,并采用汉明距离进行匹配。与现有其他方法相比,系统大大减少了编码存储空间以及编码和匹配的时间,提高了算法速度。
In general, a typical iris recognition system consists of four parts. Iris image is acquired by the non-invasive iris ac- quisition system combined with an image quality assessment module. Using Hough transform for precise locating iris in the process of preprocessing makes normalized iris image have invariance in translation, size and rotation. Iris coding and recognition is based on the Daubechies-4 wavelet transform and hamming distance. Compared with the existing methods, the operation speed of this al- gorithm is largely improved.
出处
《电视技术》
北大核心
2007年第B08期143-145,160,共4页
Video Engineering
关键词
虹膜识别
图像质量评估
HOUGH变换
小波变换
iris recognition
iris image quality assessment
Hough transform
wavelet transform
