Fingerprint verification using wavelet and local dominant orientation
Bhushan D. Patil, Jayant V Kulkarni, Raghunath Sambhaji Holambe · 2006
This paper describes the fingerprint verification based on wavelet transform and the local dominant orientation. Daubechies wavelet is use to decompose the fingerprint image. The local dominant orientation is computed using the coherence. The trainee and test fingerprint images are aligned around core point, in this paper the core point is detected as a maximum curvature point. The authors received 85 percent genuine acceptance rate at 6 percent false acceptance rate (FAR).