A Composite Fingerprint Segmentation Based on Log-Gabor Filter and Orientation Reliability

A robust fingerprint segmentation technique using adaptive threshold after Log-Gabor filtering and orientation reliability is proposed. The Log-Gabor filter turns the non-ridge areas of fingerprint image dark, but makes the ridge areas brighter than non-ridge areas. The gray features of filtered image are robust in spite of different gray features in original fingerprint images. An adaptive threshold according to the histogram is robust to exclude non-ridge areas. And Orientation Reliability is defined on the orientations of blocks to discriminate the disordered ridge like areas. Then fusion of the two segmentations and post-processing are introduced. Experiments show that the proposed composite segmentation technique is effective and robust to different contrast areas and disordered ridge areas in one image.