title: Fingerprint image enhancement using CNN filtering techniques.
abstract: Due to noisy acquisition devices and variation in impression conditions, the ridgelines of fingerprint images are mostly corrupted by various kinds of noise causing cracks, scratches and bridges in the ridges as well as blurs. These cause matching errors in fingerprint recognition. For an effective recognition the correct ridge pattern is essential which requires the enhancement of fingerprint images. Segment by segment analysis of the fingerprint pattern yields various ridge direction 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 a fingerprint image enhancement based on CNN Gabor-Type filters.
authors.affiliation: Faculty of Engineering, Science and The Built Environment, London South Bank University, Borough Road, SE1 0AA, London, UK. saatcie@lsbu.ac.uk.
authors.forename: Ertugrul
authors.initials: E
authors.lastname: Saatci
authors.forename: Vedat
authors.initials: V
authors.lastname: Tavsanoglu
mesh_terms: D003878:Dermatoglyphics; D007089:Image Enhancement / Q000379:methods* / Q000592:standards; D016571:Neural Networks, Computer