Research on Fingerprint Image Segmentation under Complex Background

摘要

Fingerprints are widely used in biometric techniques for automatic personal identification. In this paper, a fingerprint segmentation method is proposed to overcome the bad impact imposed by the complex background of the fingerprint image. The proposed approach is based on combining global and local processing to achieve segmentation of fingerprint images. The approach is implemented in three stages: preprocessing, segmentation, and post-processing. The effectiveness of the proposed method can be confirmed through the experimental results.