A new segmentation algorithm for low quality fingerprint image

Aiming at the segmentation of low quality fingerprint images, a new framework, which is different from traditional methods that usually use some certain features to segment diversified images, is proposed. There are two contributions in this scheme: firstly, we introduce a quality estimation step before segmentation, which can remove a great many false traces effectively; secondly, a new feature eccentric moment is proposed to locate the blurry boundary. Then we segment the image using the new block feature of clarified image. Experimental results show that the proposed method can segment low quality fingerprint images properly.