Iris recognition as one of the approaches of physiological biometrics has been widely used in security and authentication systems. We are considering several iris recognition approaches: classical computer vision approaches based of Daugman’s algorithm and deep learning methodologies. There are two stages in iris recognition: iris segmentation (detecting iris on image) and iris patterns comparison.
| Segmentation |
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| Image preprocessing |
| Inner circle detection |
| Outer circle detection |
| CNN for iris segmentation |
| Comparison |
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| Transform polar iris coordinates to rectangular |
| Gabor filter |
| Generate iris code |
| Hemming distance for iris code |
| Color distribution histograms comparison |
| Deep learning based methods |
| Original image | Inverted grayscale |
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| Black hat filter | Median blurr |
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| Canny edge detector | Hough circle transform |
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