Title :
Analysis of Retina Recognition by Correlation and Covariance Matrix
Author :
Kakarwal, S.N. ; Deshmukh, R.R.
Author_Institution :
Dept. Comput. Sci. & Eng., P.E.S. Coll. of Eng., Aurangabad, India
Abstract :
We present an automated technique for person recognition based on retina of the human eye. In this paper we compare the performance of retina recognition by calculating correlation and covariance matrix of the retinal images. 20 images are used for the purpose of training and testing. Experimental results on DRIVE database show that these two methods are significantly better.
Keywords :
correlation methods; covariance matrices; iris recognition; correlation; covariance matrix; human eye; person recognition; retina recognition; retinal image; Biometrics; Correlation and Covariance matrix; Retina recognition;
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on
Conference_Location :
Goa
Print_ISBN :
978-1-4244-8481-2
Electronic_ISBN :
2157-0477
DOI :
10.1109/ICETET.2010.29
