Contact-based biometric applications primarily use prints from a finger or a palm for a single
instance in different applications. For access control, there is an enrollment process using …

The paper presents a biometric system with optimization for identification. The design
combines 2 biometrics (fingerprint and palmprint) with feature-level functional fusion …

Latent fingerprint identification is one of the leading forensic activities to clarify criminal acts.
However, its computational cost hinders the rapid decision making in the identification of an …

In this paper, we propose a novel method to detect Congenital Heart Diseases (CHDs) using
digital palm images. An Axial triradius is one of the features of palm whose position can be …

Background Identification of sex plays a vital role in forensic and medicolegal investigations.
Although several studies were conducted in the past to assess sexual dimorphism in friction …

Minutiae are small distinguishing features found along every ridge flow, which make each
friction ridge print unique. The most common friction ridge prints found at the crime scene …

Contact-based biometric applications primarily use prints from a finger or a palm for a single
instance in different applications. For access control, there is an enrollment process using …

The present article has proposed a machine learning method to detect congenital heart
diseases (CHDs) such as atrial septal defect (ASD) and myocardial infarction (MI) based on …

Cancelable biometric (CB) has been principally suggested to solve some concerns
associated to security and privacy of stored templates in traditional biometric systems. Its …

In this paper, we propose a machine learning method to detect Congenital Heart Diseases
using a palm pattern known as axial triradius. An Axial triradius is one of the features of palm …