Adaptive fuzzy switching noise reduction filter for iris pattern recognition
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...
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| Format: | Article |
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Penerbit UTM Press
2015
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| author | Dehkordi, Arezou Banitalebi Abu-Bakar, Syed Abdul Rahman |
| author_facet | Dehkordi, Arezou Banitalebi Abu-Bakar, Syed Abdul Rahman |
| author_sort | Dehkordi, Arezou Banitalebi |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T19:40:13Z |
| format | Article |
| id | utm.eprints-57699 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:40:13Z |
| publishDate | 2015 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-576992017-03-20T04:56:46Z http://eprints.utm.my/57699/ Adaptive fuzzy switching noise reduction filter for iris pattern recognition Dehkordi, Arezou Banitalebi Abu-Bakar, Syed Abdul Rahman TK Electrical engineering. Electronics Nuclear engineering 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. Penerbit UTM Press 2015 Article PeerReviewed 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 http://dx.doi.org/10.11113/jt.v73.3381 DOI:10.11113/jt.v73.3381 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Dehkordi, Arezou Banitalebi Abu-Bakar, Syed Abdul Rahman Adaptive fuzzy switching noise reduction filter for iris pattern recognition |
| title | Adaptive fuzzy switching noise reduction filter for iris pattern recognition |
| title_full | Adaptive fuzzy switching noise reduction filter for iris pattern recognition |
| title_fullStr | Adaptive fuzzy switching noise reduction filter for iris pattern recognition |
| title_full_unstemmed | Adaptive fuzzy switching noise reduction filter for iris pattern recognition |
| title_short | Adaptive fuzzy switching noise reduction filter for iris pattern recognition |
| title_sort | adaptive fuzzy switching noise reduction filter for iris pattern recognition |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT dehkordiarezoubanitalebi adaptivefuzzyswitchingnoisereductionfilterforirispatternrecognition AT abubakarsyedabdulrahman adaptivefuzzyswitchingnoisereductionfilterforirispatternrecognition |