TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Iris Image Enhancement for the Recognition of Non-ideal Iris Images |
| 영문제목(English Title) |
Iris Image Enhancement for the Recognition of Non-ideal Iris Images |
| 저자(Author) |
Mazhar Sajjad
Chang-Won Ahn
Jin-Woo Jung
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| 원문수록처(Citation) |
VOL 10 NO. 04 PP. 1904 ~ 1926 (2016. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Iris recognition for biometric personnel identification has gained much interest owing to the increasing concern with security today. The image quality plays a major role in the performance of iris recognition systems. When capturing an iris image under uncontrolled conditions and dealing with non-cooperative people, the chance of getting non-ideal images is very high owing to poor focus, off-angle, noise, motion blur, occlusion of eyelashes and eyelids, and wearing glasses. In order to improve the accuracy of iris recognition while dealing with non-ideal iris images, we propose a novel algorithm that improves the quality of degraded iris images. First, the iris image is localized properly to obtain accurate iris boundary detection, and then the iris image is normalized to obtain a fixed size. Second, the valid region (iris region) is extracted from the segmented iris image to obtain only the iris region. Third, to get a well-distributed texture image, bilinear interpolation is used on the segmented valid iris gray image. Using contrast-limited adaptive histogram equalization (CLAHE) enhances the low contrast of the resulting interpolated image. The results of CLAHE are further improved by stretching the maximum and minimum values to 0–255 by using histogram-stretching technique. The gray texture information is extracted by 1D Gabor filters while the Hamming distance technique is chosen as a metric for recognition. The NICE-II training dataset taken from UBRIS.v2 was used for the experiment. Results of the proposed method outperformed other methods in terms of equal error rate (EER).
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| 키워드(Keyword) |
Non-ideal iris images
bi-linear interpolationiris
iris image enhancement
iris recognition
Contrast limited adaptive histogram equalization
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| 파일첨부 |
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