Currently, most mobile devices adopt very small fingerprint sensors that only capture small
partial fingerprint images. Accordingly, conventional minutiae-based fingerprint matchers …

This paper introduces a novel fingerprint matching algorithm using both ridge features and
the conventional minutiae feature to increase the recognition performance against nonlinear …

Traditionally, fingerprint matching is minutia-based, which establishes the minutiae
correspondences between two fingerprints. In this paper, a novel fingerprint matching …

The performance of a fingerprint matching system is affected by the nonlinear deformation
introduced in the fingerprint impression during image acquisition. Many matching algorithms …

Extracting and fusing discriminative features in fingerprint matching, especially in distorted
fingerprint matching, is a challenging task. In this paper, we introduce two novel features to …

Minutiae matching is the most popular approach to fingerprint verification. In this paper, we
propose a novel fingerprint feature named the adjacent feature vector (AFV) for fingerprint …

In this paper, we introduce a hybrid fingerprint matcher which consists of two stages: local
minutiae matching stage and consolidation stage. In the former stage, each minutia in the …

Effectively incorporating various features with minutiae in fingerprint matching is a
challenging task. This paper presents an algorithm to extract two novel discriminative …

Most fingerprint matching systems rely on the distribution of minutiae on the fingertip to
represent and match fingerprints. While the ridge flow pattern is generally used for …

Fingerprints are being extensively used for person identification in a number of commercial,
civil, and forensic applications. The current Fingerprint matching technology is quite mature …