Biometric recognition, or simply biometrics, refers to the use of distinctive anatomical and/or
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …

This paper reviews the fingerprint classification literature looking at the problem from a
double perspective. We first deal with feature extraction methods, including the different …

A minutiae-based template is a very compact representation of a fingerprint image, and for a
long time, it has been assumed that it did not contain enough information to allow the …

Identifying latent fingerprints is of vital importance for law enforcement agencies to
apprehend criminals and terrorists. Compared to live-scan and inked fingerprints, the image …

We propose a novel initialization method designed for active contours (AC) and the level set
method (LSM), based on walking particles. The algorithm defines the seeds at converging …

Dictionary based orientation field estimation approach has shown promising performance
for latent fingerprints. In this paper, we seek to exploit stronger prior knowledge of …

We present methods for the detection of sites of architectural distortion in prior
mammograms of interval-cancer cases. We hypothesize that screening mammograms …

Architectural distortion is an important sign of breast cancer, but because of its subtlety, it is a
common cause of false-negative findings on screening mammograms. This paper presents …

Fingerprint classification is crucial to reduce the processing time in a large-scale database.
Two popular features used are the singularities and orientation information and they are …

The estimation of fingerprint ridge orientation is an essential step in every automatic
fingerprint verification system. The importance of ridge orientation can be deflected from the …