Dehkordi, A. B. and Abu-Bakar, S. A. R. (2016) Noise reduction for iris recognition using adaptive fuzzy filtering. In: 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015, 19-21 Oct 2015, Kuala Lumpur, Malaysia.
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Abstract
Reduction of influences of noise is an important stage in the iris recognition systems. In order to reduce effects of noise such as, eyelashes, eyelids and light illumination, this paper proposes noise reduction method based on an adaptive fuzzy filtering. The proposed method has low complexity and adaptive window size of filling filter. The Fuzzification is based on density of noise pixels within the filter's window and intensity values of noise and iris patterns. The Adaptive window size of filter enables the filling filter to perform noise reduction for different densities of noise pixels in the iris region. The results of applying proposed adaptive fuzzy filtering method on the CASIA V3.0 iris database, with genuine acceptance rate equals 99.72% show the success of the proposed method.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | adaptive fuzzyfiltering, iris recognition, noise eduction |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 73385 |
| Deposited By: | Mohd Zulaihi Zainudin |
| Deposited On: | 21 Nov 2017 08:17 |
| Last Modified: | 21 Nov 2017 08:17 |
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