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A Statistical Approach for Blood Vessel Segmentation in Retinal Images for Personal Identification

Publication Date : 10/07/2015

Author(s) :

Prashantha G. R. , Dr Chandrasekhar M Patil.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

Biometrics are the personal physiological and behavioral characteristics which are mostly widely used for personal recognition. Today biometric based security systems such as fingerprint, iris, and face recognition are used everywhere especially in high security areas. Human retina is another source of biometric system which provides the most reliable and stable means of personal identification. In this paper we are proposing a statistical approach for blood vessel segmentation, extraction, and then they have been thinned by a morphological operation, which helps in extracting the vascular pattern and then forms a feature vector for personal identification. The experimental results show that our method is quite effective.

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