Iris Biometric Analysis under Occlusion

Pandey, Ashish (2016) Iris Biometric Analysis under Occlusion. BTech thesis.



Iris is one of the most dependable biometric trait used for human’s recognition. Iris recognition validates a person’s identity by comparing the unique flowery patterns of the iris with that of the available database. The performance of the iris biometric reduces considerably if any occlusion like spectacles, glare corrupt the iris. In this project, we use image inpainting to alleviate the problem of occlusion pixels. This project is composed of stages which include, iris image acquisition, image inpainting, image pre-processing, feature extraction, matching with database and finally decision making. The algorithm for image inpainting is based on texture analysis using mean filter and the algorithm for iris recognition is based conceptually as used by R. P. Wildes. The result of the proposed (improved) iris recognition system have been found to be quite promising even in case of occlusion.

Item Type:Thesis (BTech)
Uncontrolled Keywords:Biometric, iris pattern, occlusion, image inpainting, mean filter, iris localization.
Subjects:Engineering and Technology > Electrical Engineering > Image Processing
Divisions: Engineering and Technology > Department of Electrical Engineering
ID Code:8011
Deposited By:Mr. Sanat Kumar Behera
Deposited On:04 Jul 2016 16:17
Last Modified:04 Jul 2016 16:17
Supervisor(s):Gupta, S

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