Biometric Authentication using Gait Recognition

Abstract

The necessity for trustworthy and secure means of user identification has become critical in a society that is becoming more and more digital. The widespread use of biometric authentication has emerged as a possible answer to the hacker-proneness of conventional authentication techniques like passwords and PINs. Biometric authentication uses a person's distinctive physiological and behavioral traits to confirm their identity. "Biometric Authentication using Gait Recognition" is one such new and creative strategy. The technique of identifying people based on their physiological or behavioral attributes, such as fingerprints, facial features, speech patterns, and gait, is known as biometric authentication. A subfield of biometrics called "gait recognition" aims to identify people by observing how they move or walk. Every person has a unique gait pattern, which is impacted by things including body composition, weight distribution, and muscle activity. Gait recognition technology is an appealing alternative to conventional approaches because it can record and analyze these minute differences to produce a biometric profile.