Touchless fingerprint recognition represents a rapidly growing field of research which has
been studied for more than a decade. Through a touchless acquisition process, many issues …

Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …

Recently, the classification of surface textures is carried out using various modelling
approaches. To analyse the surface texture, most of the techniques uses large amount of …

This review focuses on the application of nanoparticles in the development of latent
fingermark as sensor and their advantages with respect to the quality of fingerprint after …

This work inspects deep learning architectures and shallow learning techniques to
determine whether the image of a fingerprint is real (Live) or not (Fake). It is known that …

Abstract Sweat pore, one of the level 3 features of fingerprint, has attracted much attention in
fingerprint recognition. Traditional sweat pores on surface fingerprint are unclear or blurred …

Latent fingerprint identification is the most prevalent process used by the forensic community
from a long time. Smudgy, blurred, and small fingerprint area of the latent impressions …

We propose an orthogonal‐polarization‐gating optical coherence tomography (OPG‐OCT)
for human sweat ducts in vivo. OPG‐OCT is composed of the orthogonal linearly polarized …

Pore detection for fingerprint recognition has gained much research attention in recent
years, in view of the existence of large number of pores in a small fingerprint segment and …

Fingerprint retrieval aims to identify a query fingerprint image in a large database using
indexing algorithms. Because of the abundant level 3 pore features within high-resolution …