Retinal Identification Based on Rotation Invariant Moments

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 o...

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Published in2011 5th International Conference on Bioinformatics and Biomedical Engineering pp. 1 - 4
Main Authors Dehghani, Amin, Moghaddam, Hamid Abrishami, Moin, Mohammad-Shahram
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
Subjects
Algorithm design and analysis
Equations
Feature extraction
Retina
Signal processing algorithms
Testing
Online AccessGet full text
ISBN9781424450886
1424450888
ISSN2151-7614
DOI10.1109/icbbe.2011.5780312

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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.
AbstractList 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.
Author Moghaddam, Hamid Abrishami
Dehghani, Amin
Moin, Mohammad-Shahram
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  givenname: Mohammad-Shahram
  surname: Moin
  fullname: Moin, Mohammad-Shahram
  email: moin@itrc.ac.ir
  organization: Educ. & Res. Inst. in Inf. & Commun. Technol., Tehran, Iran
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Snippet 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...
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SubjectTerms Algorithm design and analysis
Equations
Feature extraction
Retina
Signal processing algorithms
Testing
Title Retinal Identification Based on Rotation Invariant Moments
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