Title :
Using color histogram as the trait of retina biometric
Author :
Hao Hao ; Kumar, D. Krishna ; Aliahmad, B. ; Che Azemin, Mohd Zulfaezal ; Kawasaki, R.
Author_Institution :
Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
Abstract :
Retina biometric has applications on high security access control systems. The interference of lighting and deformation of viewpoint in the retina image acquisition have impact on the process of retina feature extraction and matching. In this paper, we propose a method using color histogram as the trait of retina biometric. The color histogram has shown the feature of deformation invariant. The enhancement using discrete wavelet transform decomposition minimizes the difference within the individuals and increases the correlation between the retinal images of the same person. This method provides a solution against the variation within the individuals and lower false rejection rate in the retina biometric.
Keywords :
biology computing; biometrics (access control); eye; feature extraction; color histogram; deformation; discrete wavelet transform; feature extraction; feature matching; high security access control systems; lighting; retina biometric; retina image acquisition; viewpoint; Correlation; Discrete wavelet transforms; Histograms; Image color analysis; Lighting; Retina; color histogram; deformation invariant; retina biometric;
Conference_Titel :
Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP
Conference_Location :
Rio de Janerio
Print_ISBN :
978-1-4673-3024-4
DOI :
10.1109/BRC.2013.6487502