Fingerprints have been an invaluable tool for law enforcement and forensics for over a
century, motivating research into automated fingerprint-based identification in the early …

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) …

A robust fingerprint recognition algorithm should tolerate the rotation and translation of the
fingerprint image. One popular solution is to consistently detect a unique reference point and …

We present a new technique for fingerprint minutiae matching. The proposed method
connects minutiae using a Delaunay triangulation and analyzes the relative position and …

Image enhancement techniques have become more popular among the researchers as it is
widely been used in security and medical applications. There have been different image …

Fuzzy set theory originates to a great extent of interest among the researchers in past
decades. It is a key tool to handle the imperfect of information in the diverse field. Typically, it …

For biometric identification or verification fingerprint images are most popular due to their
uniqueness in nature. Image Enhancement Techniques (IETs) plays a vital role in …

For decades, fingerprint recognition has been prevalent for security, forensics, and other
biometric applications. However, the availability of good-quality fingerprints is challenging …

We present a pre-processing step for minutiae based fingerprint verification to perform
distortion correction. We first detect the core-point of the enrollment image, select a Region …

The enhancement in fingerprint image remains as a vital step to recognize or verify the
identity of person. The noise is influenced during the acquisition of fingerprint image. The …