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
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;
Conference_Titel :
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5088-6
DOI :
10.1109/icbbe.2011.5780312
