The recognition based on band tree for blood vessel of ocular fundus

Today, iris recognition, fingerprint recognition, face recognition, voice recognition and other biometric technology are experiencing rapid development. This paper addresses a new biometric technology-optic fundus blood vessel skeleton recognition based on band tree. The green gray scale ocular fundus image is utilized. The skeleton feature of optic fundus blood vessel is extracted at first. After filtering treatment and extracting feature, the band tree represented vector curve of blood vessels is obtained. The band tree matching is later carried out by means of reference point matching and tree indexing. The ocular fundus blood vessel recognition has been demonstrated in this paper to possess high recognition rate, low recognition rejection rate as well as good universality, exclusiveness and stability. With more and more progress made in extracting technology, the optic fundus blood vessel recognition is to become an effective biometric technology.