Fingerprint image enhancement using CNN Gabor-Type filters

Fingerprint images are usually worsened by various kinds of noise causing cracks, scratches and bridges in the ridges as well as ink blurs. These cause matching errors in fingerprint recognition. For effective recognition the correct ridge pattern is essential, requiring the enhancement of fingerprint images. A fingerprint pattern consists of ridges. Segment by segment analysis of the pattern yields various ridge directions and frequencies. By selecting a directional filter with correct filter parameters to match ridge features at each point, we can effectively enhance fingerprint ridges. This paper proposes fingerprint image enhancement based on CNN Gabor-type filters.