Paper Info
Title
The identification and recognition based on point for blood vessel of ocular fundus
Abstract
Today, iris recognition, fingerprint recognition, face recognition, voice recognition and other biometric technology are experiencing rapid development. This paper addresses a new biometric technology–the identification and recognition based on point of blood vessel skeleton for ocular fundus. The image for green gray scale of ocular fundus is utilized. The cross point of skeleton shape of blood vessel for ocular fundus using contrast-limited adaptive histogram equalization is extracted at first. After filtering treatment and extracting shape, shape curve of blood vessels is obtained. The cross point of shape for curve matching is later carried out by means of cross point matching. The recognition based on shape for blood vessel of ocular fundus has been demonstrated in this paper to possess high Identification and recognition rate, low rejection recognition rate as well as good universality, exclusiveness and stability. With more and more progress made in extracting technology, the recognition for blood vessel of optic fundus is to become an effective biometric technology.
Year
DOI
Venue
2006
10.1007/11608288_103
ICB
Keywords
Field
DocType
face recognition,ocular fundus,iris recognition,voice recognition,blood vessel skeleton,recognition rate,low rejection recognition rate,fingerprint recognition,blood vessel,cross point,histogram equalization
Facial recognition system,Computer vision,Histogram,Iris recognition,Pattern recognition,Computer science,Fingerprint recognition,Image processing,Fundus (eye),Adaptive histogram equalization,Artificial intelligence,Biometrics
Conference
Volume
ISSN
ISBN
3832
0302-9743
3-540-31111-4
Citations 
PageRank 
References 
4
0.50
6
Authors
5
Name
Order
Citations
PageRank
Zhiwen Xu1246.64
Xiaoxin Guo2196.03
Xiaoying Hu351.93
Xu Chen440.50
Zhengxuan Wang54713.93