DocumentCode
3322794
Title
Retinal Identification Based on Rotation Invariant Moments
Author
Dehghani, Amin ; Moghaddam, Hamid Abrishami ; Moin, Mohammad-Shahram
Author_Institution
Fac. of Electr. Eng., K. N. Toosi Univ. of Technol., Tehran, Iran
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
4
Abstract
In this paper, we propose a new identification method based on the retinal images. In this algorithm, we use rotation invariant features extracted from the retinal images. Then, we use them for identification. Experimental results on a database, including 60 retina images obtained from 40 subjects of DRIVE database and 20 subjects from STARE database, show the average true identification accuracy rate equal to 99.78 percent for the proposed algorithm.
Keywords
feature extraction; image recognition; DRIVE database; STARE database; features extraction; retinal identification; retinal images; rotation invariant moments; Algorithm design and analysis; Databases; Equations; Feature extraction; Retina; Signal processing algorithms; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location
Wuhan
ISSN
2151-7614
Print_ISBN
978-1-4244-5088-6
Type
conf
DOI
10.1109/icbbe.2011.5780312
Filename
5780312
Link To Document