Name
Abstract | ||
|---|---|---|
A new biometric technology-recognition ocular fundus based on shape of blood vessel skeleton-is addressed in this paper. The gray scale image of ocular fundus is utilized to extract the skeletons of its blood vessels. The cross points on the skeletons are used to match two fundus images. Experiments show high recognition rate, low recognition rejection rate as well as good universality, exclusiveness and stability of this method. |
Year | DOI | Venue |
|---|---|---|
2005 | null | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
gray scale image,fundus image,ocular fundus,new biometric technology-recognition ocular,low recognition rejection rate,good universality,blood vessel,cross point,high recognition rate | Computer vision,Pattern recognition,Retina,Computer science,Fundus (eye),Image processing,Artificial intelligence,Biometrics,Grayscale,Blood vessel,Fundus image | Conference |
Volume | Issue | ISSN |
3926 LNCS | null | 16113349 |
ISBN | Citations | PageRank |
3-540-34711-9 | 1 | 0.42 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiwen Xu | 1 | 24 | 6.64 |
| Xiaoxin Guo | 2 | 19 | 6.03 |
| Xiaoying Hu | 3 | 5 | 1.93 |
| Xu Chen | 4 | 1 | 0.42 |
| Zhengxuan Wang | 5 | 47 | 13.93 |