FIngerprint Image Enhancement Using Cnn Filtering Techniques


SAATÇI E., Tavsanoglu V.

International Journal of Neural Systems, cilt.13, sa.6, ss.453-460, 2003 (Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 13 Sayı: 6
  • Basım Tarihi: 2003
  • Doi Numarası: 10.1142/s012906570300173x
  • Dergi Adı: International Journal of Neural Systems
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.453-460
  • Anahtar Kelimeler: Cellular Neural Networks, enhancement, fingerprints, Gabor filters, Gabor-Type filters
  • İstanbul Kültür Üniversitesi Adresli: Evet

Özet

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.