| Título: | An Effective Iris Recognition System |
| Autores: |
Wen Lin, Hsiau; Shanghai Jianqiao University Jen Lin, Hwei; Tamkang University Sheng Li, Yue; Tamkang University Yang, Fu-Wen; Tamkang University |
| Fecha: | 2014-05-01 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | No aplica |
| Descripción: | An iris recognition system uses the iris to distinguish the identity of a person using the rich iris texture feature. To effectively remove noise and precisely segment the stable iris region is a crucial stage prior to recognition. Most noises on iris images are caused by occlusion of eyelids or eyelashes in certain areas. In this paper, we propose an iris recognition system which precisely locates and segments iris regions. We extract the iris feature from a relatively reliable portion of the iris region using a DoG filter. Experimental results show that the proposed iris recognition system has satisfactory results in terms of time efficiency and recognition rate. |
| Idioma: | No aplica |