Image enhancement technique at different distance for Iris recognition
Capturing eye images within visible wavelength illumination in the non-cooperative environment lead to the low quality of eye images. Thus, this study is motivated to investigate the effectiveness of image enhancement technique that able to solve the abovementioned issue. A comparative study has bee...
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| Format: | Article |
| Language: | English |
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Insight Society
2017
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| Online Access: | http://eprints.utm.my/81265/1/RohayantiHassan2017_ImageEnhancementTechniqueatDifferentDistance.pdf |
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| author | Hassan, R. Kasim, S. Jafery, W. A. Z. W. C. Shah, Z. A. |
| author_facet | Hassan, R. Kasim, S. Jafery, W. A. Z. W. C. Shah, Z. A. |
| author_sort | Hassan, R. |
| collection | ePrints |
| description | Capturing eye images within visible wavelength illumination in the non-cooperative environment lead to the low quality of eye images. Thus, this study is motivated to investigate the effectiveness of image enhancement technique that able to solve the abovementioned issue. A comparative study has been conducted in which three image enhancement techniques namely Histogram Equalization (HE), Adaptive Histogram Equalization (AHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) were evaluated and analysed. UBIRIS.v2 eye image database was used as a dataset to evaluate those techniques. Moreover, each of enhancement techniques was tested against the different distance of eye image captured. Results were compared in terms of image interpretation by using Peak-Signal Noise Ratio (PSNR), Absolute Mean Brightness Error (AMBE) and Mean Absolute Error (MAE). The effectiveness of the enhancement techniques on the different distance of image captured was evaluated using the False Acceptance Rate (FAR) and False Rejection Rate (FRR). As a result, CLAHE has proven to be the most reliable technique in enhancing the eye image which improved the localization accuracy by 7%. In addition, the results showed that by implementing CLAHE technique at a four-meter distance was an ideal distance to capture eye images in a non-cooperative environment where it provides high recognition accuracy, 74%. |
| first_indexed | 2024-03-05T20:25:29Z |
| format | Article |
| id | utm.eprints-81265 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:25:29Z |
| publishDate | 2017 |
| publisher | Insight Society |
| record_format | dspace |
| spelling | utm.eprints-812652019-07-23T08:55:37Z http://eprints.utm.my/81265/ Image enhancement technique at different distance for Iris recognition Hassan, R. Kasim, S. Jafery, W. A. Z. W. C. Shah, Z. A. QA75 Electronic computers. Computer science Capturing eye images within visible wavelength illumination in the non-cooperative environment lead to the low quality of eye images. Thus, this study is motivated to investigate the effectiveness of image enhancement technique that able to solve the abovementioned issue. A comparative study has been conducted in which three image enhancement techniques namely Histogram Equalization (HE), Adaptive Histogram Equalization (AHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) were evaluated and analysed. UBIRIS.v2 eye image database was used as a dataset to evaluate those techniques. Moreover, each of enhancement techniques was tested against the different distance of eye image captured. Results were compared in terms of image interpretation by using Peak-Signal Noise Ratio (PSNR), Absolute Mean Brightness Error (AMBE) and Mean Absolute Error (MAE). The effectiveness of the enhancement techniques on the different distance of image captured was evaluated using the False Acceptance Rate (FAR) and False Rejection Rate (FRR). As a result, CLAHE has proven to be the most reliable technique in enhancing the eye image which improved the localization accuracy by 7%. In addition, the results showed that by implementing CLAHE technique at a four-meter distance was an ideal distance to capture eye images in a non-cooperative environment where it provides high recognition accuracy, 74%. Insight Society 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/81265/1/RohayantiHassan2017_ImageEnhancementTechniqueatDifferentDistance.pdf Hassan, R. and Kasim, S. and Jafery, W. A. Z. W. C. and Shah, Z. A. (2017) Image enhancement technique at different distance for Iris recognition. International Journal on Advanced Science, Engineering and Information Technology, 7 (4-2). pp. 1510-1515. ISSN 2088-5334 http://dx.doi.org/10.18517/ijaseit.7.4-2.3392 DOI:10.18517/ijaseit.7.4-2.3392 |
| spellingShingle | QA75 Electronic computers. Computer science Hassan, R. Kasim, S. Jafery, W. A. Z. W. C. Shah, Z. A. Image enhancement technique at different distance for Iris recognition |
| title | Image enhancement technique at different distance for Iris recognition |
| title_full | Image enhancement technique at different distance for Iris recognition |
| title_fullStr | Image enhancement technique at different distance for Iris recognition |
| title_full_unstemmed | Image enhancement technique at different distance for Iris recognition |
| title_short | Image enhancement technique at different distance for Iris recognition |
| title_sort | image enhancement technique at different distance for iris recognition |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/81265/1/RohayantiHassan2017_ImageEnhancementTechniqueatDifferentDistance.pdf |
| work_keys_str_mv | AT hassanr imageenhancementtechniqueatdifferentdistanceforirisrecognition AT kasims imageenhancementtechniqueatdifferentdistanceforirisrecognition AT jaferywazwc imageenhancementtechniqueatdifferentdistanceforirisrecognition AT shahza imageenhancementtechniqueatdifferentdistanceforirisrecognition |