Wavelet based retinal recognition

Retina is a new biometric method to recognize a person. The fact that blood vessels have vessels with different thickness and width motivate us to analyze the retina using multi-resolution analysis method. A novel retina feature, named wavelet energy feature (WEF) is defined in this paper, employing...

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Bibliographic Details
Published in2007 9th International Symposium on Signal Processing and Its Applications pp. 1 - 4
Main Authors Shahnazi, M., Pahlevanzadeh, M., Vafadoost, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2007
Subjects
Biomedical imaging
Biomedical optical imaging
Blood vessels
Feature extraction
Image analysis
Image recognition
Lighting
Retina
Wavelet analysis
Working environment noise
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Summary:Retina is a new biometric method to recognize a person. The fact that blood vessels have vessels with different thickness and width motivate us to analyze the retina using multi-resolution analysis method. A novel retina feature, named wavelet energy feature (WEF) is defined in this paper, employing wavelet, which is a powerful tool of multi-resolution analysis. WEF can reflect the wavelet energy distribution of the vessels with different thickness and width in several directions at different wavelet decomposition levels (scales), so its ability to discriminate retinas is very strong. Easiness to compute is another virtue of WEF. Using semiconductors and various environmental temperatures in electronic imaging systems cause noisy images, so in this article noisy retinal images are used in recognition. In existence of 5 db to 20 db noise, the proposed method can achieve %100 recognition rates.
ISBN:9781424407781
1424407788
DOI:10.1109/ISSPA.2007.4555369