Image Texture Recognition Using Gabor Transform

Image texture recognition based on Gabor transform with algorithmic enhancements. This study presents an improved Gabor transform algorithm for texture enhancement, converting spatial domain texture images to joint spatial-frequency domain and utilizing energy distribution as palmprint features. The implementation involves Gabor filtering of frequency energy distribution along principal directions in sub-blocks, feature vector matching, multi-directional spatial-frequency energy filtering synthesis for enhanced ridge information, and computational optimization for reduced processing load.