An algorithm of Iris feature-extracting based on 2D Log-Gabor
| Autor: | ZhiXun Li, Lin-Tao Lv, QinQin Yuan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer Networks and Communications
Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Wavelet Hardware and Architecture Robustness (computer science) Computer Science::Computer Vision and Pattern Recognition 0202 electrical engineering electronic engineering information engineering Media Technology Algorithm Software |
| Zdroj: | Multimedia Tools and Applications. 78:22643-22666 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-019-7551-2 |
| Popis: | This paper proposes a new algorithm for iris feature extraction. The algorithm uses the odd symmetric 2D Log-Gabor filter to analyze the phase and amplitude of iris texture with respect to different frequencies and orientations, and uses feature fusion to eliminate redundant feature. It successfully solves such problems as the crescent-shaped spectrum and grid-like patterns which will appear when 2D Log-Gabor wavelet is used to extract iris features. The experimental results also show that the algorithm proposed has strong robustness against noise and interference, and has important theoretical value and practical significance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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