A Novel Method of Iris Feature Extraction Based on the ICM
The feature of iris image would be exactly and efficiently extracted difficultly by common methods. Considering that the Intersecting Cortical Model (ICM) can be used to directly extract pertinent information from a variety of images for the purpose of recognition, we firstly propose a novel method of feature extraction for iris image based on the ICM. The results show that our method is feasible, potential and effective in obtaining feature from iris image. In our method, a series of binary images are firstly produced from the input iris image through the ICM. Entropy sequence can be gained from these binary images. And then phase information is obtained from entropy sequence. This phase information is taken as feature vector with the uniqueness for different individuals. Finally, we carry out matching experiment using the phase information. The advantages, disadvantages and further work are pointed out in the end.
feature extraction entropy ICM iris recognition phase
Zhaobin Wang Yide Ma Guangzhu Xu
School of Information Science and Engineering, Lanzhou University, Lanzhou City, Gansu Province, China
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
814-818
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）