Abstract:

Fingerprint image quality seriously affects the performance of fingerprint identification system, quality evaluation for fingerprint image has important applications in fingerprint identification system such as the fingerprint segmentation, matching etc, and is also of great significance on the research of fingerprint recognition algorithm. In this paper, using fingerprint image orientation field information, a quality evaluation method for fingerprint image based on the continuity of the orientation field information is presented. For each fingerprint image subblock, the original orientation field information and the new orientation field information smoothed through Lowpass filtering are calculated in this method, and the quality of fingerprint image is evaluated based on the statistics of the rate of orientation change after Lowpass filtering. Experimental results show that the method proposed can more effectively improve the quality classification accuracy on fingerprint image with low quality.

Key words: fingerprint image quality, quality evaluation, continuity of orientation field, Low-pass filtering, the rate of change