A Novel Method Using Videos for Fingerprint Verification

Abstract

Traditional¯ngerprint veri¯cations use single image for matching. However, the veri¯cation accuracy cannot meet the need of some application domains. In this paper, we propose to use videos for¯ngerprint veri¯cation. To take full use of the information contained in¯ngerprint videos, we present a novel method to use the dynamic as well as the static information in ngerprint videos. After preprocessing and aligning processes, the Inclusion Ratio of two matching¯ngerprint videos is calculated and used to represent the similarity between these two videos. Experimental results show that video-based method can access better accuracy than the method based on single¯ngerprint.

Modified Principal Curves Based Fingerprint Minutiae Extraction and Pseudo Minutiae Detection

“…In a traditional automatic¯ngerprint identi¯cation system,¯ngerprint minutiae are mainly extracted based on thinning images or gray-level images. 5,10,13,15,17,19,21,23 However, the thinning images and gray-level images are a set of pixels. While looking at the image of a¯ngerprint, it is often regarded as a collection of curves instead of a set of pixels.…”