In modern‐day medicine, medical imaging has undergone immense advancements and can
capture several biomedical images from patients. In the wake of this, to assist medical …

This paper introduces an intelligent computational approach to automatically authenticate
fingerprint for personal identification and verification. The feature vector is formed using …

Biometric classification plays a key role in fingerprint characterization, especially in the
identification process. In fact, reducing the number of comparisons in biometric recognition …

Touchless biometrics, particularly touchless fingerprint recognition, have gained significant
attention in recent years, with the COVID-19 pandemic accelerating the need for clean and …

Fingerprints are gaining in popularity, and fingerprint datasets are becoming increasingly
large. They are often captured utilizing a variety of sensors embedded in smart devices such …

Decreasing the number of matching comparisons between presented fingerprints and their
respective templates in automated fingerprint identification systems (AFIS) is salient …

A fingerprint is a common form of biometric technology used in human identification. The
classification of fingerprints is crucial in identification systems because it significantly …

Biometrics consists of scientific methods of using a person's unique physiological or
behavioral traits for electronic identification and verification. The traits for biometric …

Following the recent progress in the development of Terahertz (THz) generation and
detection, THz technology is being widely used to characterize test sample properties in …

Biometric recognition refers to the identification of individuals through their unique
behavioral features (eg, fingerprint, face, and iris). We need distinguishing characteristics to …