Enhancing biometric security through gait-based identification

Abstract

The gait recognition system is a groundbreaking initiative that enhances biometric identification and security. This aims to develop an advanced system that uses individuals’ unique walking patterns to identify suspects and offenders accurately. Current methods, such as facial recognition and fingerprint analysis, have limitations due to face-covering conditions and evasion attempts. The study prioritises gait detection and employs modern technology like artificial intelligence and motion tracking to overcome these issues. The system offers a potential alternative or complement to existing identification methods by precisely recognising people based on their distinctive walking styles. The study emphasises ethical considerations regarding privacy and responsible data handling, balancing technological progress with individual rights. It seeks to enhance security and reduce crime by addressing current system weaknesses and leveraging the uniqueness of gait patterns, setting a new standard for biometric identification in various situations and environments.