Recognition for ocular fundus based on shape of blood vessel

Authors:
Zhiwen Xu;Xiaoxin Guo;Xiaoying Hu;Xu Chen;Zhengxuan Wang
Affiliations:
Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University, Changchun, China;Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University, Changchun, China;The First Clinical Hospital, Jilin University, Changchun, China;Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University, Changchun, China;Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University, Changchun, China
Venue:
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Year:
2005

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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.