Dehkordi, Arezou Banitalebi and Abu-Bakar, Syed Abdul Rahman (2015) Adaptive fuzzy switching noise reduction filter for iris pattern recognition. Jurnal Teknologi, 73 (1). pp. 27-33. ISSN 0127-9696
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Official URL: http://dx.doi.org/10.11113/jt.v73.3381
Abstract
Noise reduction is a necessary procedure for the iris recognition systems. This paper proposes an adaptive fuzzy switching noise reduction (AFSNR) filter to reduce noise for iris pattern recognition. The proposed low complexity AFSNR filter removes noise pixels by fuzzy switching between an adaptive median filter and the filling method. The threshold values of AFSNR filter are calculated on the basis of the histogram statistics of eyelashes, pupils, eyelids, and light illumination. The experimental results on the CASIA V3.0 iris database, with genuine acceptance rate equals 99.72%, show the success of the proposed method.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | iris normalization, noise reduction |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 57699 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 04 Dec 2016 04:07 |
| Last Modified: | 20 Mar 2017 04:56 |
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