Gabor Feature Extraction
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According to the Gabor feature extraction methodology, we can utilize Gabor filters to construct an iris recognition library. This library, developed by the Chinese Academy of Sciences, contains extensive iris data. Gabor filters serve as a prominent feature extraction technique in image processing, employing complex sinusoidal functions modulated by Gaussian kernels to capture texture information at specific frequencies and orientations. In implementation, the Gabor filter bank typically involves multiple scales and orientations to extract discriminative iris patterns through convolution operations. Key parameters include wavelength (λ), orientation (θ), phase offset (φ), and spatial aspect ratio (γ). By leveraging this library with proper filter configuration, we can achieve more accurate iris recognition, significantly enhancing system reliability and security through multi-scale texture analysis.
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