A two-step iris recognition algorithm
Starting from the goal to overcome the limitation of the single type algorithm of iris recognition. In this paper, a two-step iris recognition algorithm is proposed based on feature extraction on corner and Gabor transform. First of all, it uses the corner feature of iris texture to recognize for achieving the purpose of removal of alien and confirm the vast majority of similar samples rapidly; if it unabe to determine the category in the first step, the result of the first step is used as the initial angle in normalized phase, and then it carries out iris feature extraction and recognition based on Gabor transform. The experimental results show that this results the speed and performance in the recognition improved significantly than the traditional algorithm of single feature recognition.
Information fusion Corner Gabor transform Rough match
Liu Jing Kang Hui Bai Tao
Jilin University College of Mathematics, China Jilin University College of Computer Science and Technology, China, Coresponding Author
国际会议
成都
英文
474-478
2010-06-23（万方平台首次上网日期，不代表论文的发表时间）