A novel eyelash detection method for iris recognition.
Iris is often affected by the eyelash noise, when captured under unfavorable condition. Not only the iris localization of inner and outer boundaries, but also iris feature extraction can be affected by eyelash. Therefore, in an iris recognition system, eyelash detection is of great importance for accurate iris recognition. Eyelash can be classified into two classes: (1) separable eyelashes (2) multiple eyelashes. The former are detected by local intensity minimum algorithm, and the latter are detected according to the template mean and standard deviation. Experimental results show that the proposed method can detect eyelash accurately.
Yuan
Weiqi
W
Computer Vison Group of Information Institute, Shenyang University f Technlogy, Shenyang, China. yuan60@126.com
He
Wei
W