Badejo, J. A. and Majekodunmi, T. O. and Atayero, A. A. (2011) Development of CUiris: A Dark-Skinned African Iris Dataset for Enhancement of Image Analysis and Robust Personal Recognition. In: World Congress on Engineering and Computer Science, October 19-21, 2011, San Francisco, USA.
Iris recognition algorithms, especially with the emergence of large-scale iris-based identification systems, must be tested for speed and accuracy and evaluated with a wide range of templates – large size, long-range, visible and different origins. This paper presents the acquisition of eye-iris images of dark-skinned subjects in Africa, a predominant case of verydark- brown iris images, under near-infrared illumination. The peculiarity of these iris images is highlighted from the histogram and normal probability distribution of their grayscale image entropy (GiE) values, in comparison to Asian and Caucasian iris images. The acquisition of eye-images for the African iris dataset is ongoing and will be made publiclyavailable as soon as it is sufficiently populated.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Divisions:||Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science|
|Depositing User:||Mr Adewole Adewumi|
|Date Deposited:||12 Dec 2012 23:52|
|Last Modified:||12 Dec 2012 23:52|
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