Gaussian Filter-Based Directional Fields Estimation in Fingerprint Images

초록

Directional Fields play important roles in fingerprint recognition. A robust method of pixel-wise DFs estimation based on Gaussian filter is proposed in this paper. Firstly, the covariance data for each pixel were computed and smoothed by a Gaussian filter. Then the sine and cosine components are computed from the squared gradient vectors which were derived from covariance data, and filtered by the Gaussian filter again. Finally, the pixel-wise DFs were obtained from the inverse tangent function. The FVC databases were employed in this study and the experimental results show the proposed method can work effectively for fingerprints captured from any sensors in the FVC databases.