Active Fingerprint Ridge Orientation Models
This paper proposes a statistical model for fingerprint ridge orientations. The active fingerprint ridge orientation model (AFROM) iteratively deforms to fit the orientation field (OF) of a fingerprint. The main application of the method is the OF estimation in
noisy fingerprints as well as the interpolation and extrapolation of larger OF parts. Fingerprint OFs are represented by Legendre Polynomials. We evaluated both,the generalisation as well as the prediction capability of the proposed method. These evaluations assess our method very good results.
Ram S, Bischof H, Birchbauer J:
Presented at 3rd IAPR/IEEE International Conference on Biometrics (ICB), Alghero, Italy, Jun. 2-5 2009