Fingerprints and palmprints are the most common authentic biometrics for personal
identification, especially for forensic security. Previous research have been proposed 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 …

Fingerprint recognition has found a reliable application for verification or identification of
people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several …

Fingerprint matching is still a challenging problem for reliable person authentication
because of the complex distortions involved in two impressions of the same finger. In this …

Many fingerprint matching algorithms have been reported in articles in recent years. And
people did fingerprint images matching through minutiae matching in most of the algorithms …

Traditional minutiae-based matching algorithms are challenged by the probability that
minutiae from different regions of different fingers may not be well matched, and hence lead …

A novel minutiae-based fingerprint matching algorithm is proposed. A minutiae matching
algorithm has to solve two problems: correspondence and similarity computation. For the …

Fingerprint matching has emerged as an effective tool for human recognition due to the
uniqueness, universality and invariability of fingerprints. Many different approaches have …

Fingerprint identification is an important issue for identifying fingerprints and plays a key role
in the fingerprint recognition systems. However, performing a fingerprint identification over a …

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