Face Recognition Methods & Applications

TL;DR

This paper reviews face recognition techniques, their applications in security, and discusses future research directions, highlighting the challenges of accurate identification under various conditions.

Contribution

It provides a comprehensive overview of face recognition methods, applications, and future research directions in the field.

Findings

Discusses common face recognition methods like holistic, feature extraction, and hybrid approaches.

Highlights applications in security systems such as airports, banks, and offices.

Identifies future research challenges including lighting, pose, and aging variations.

Abstract

Face recognition presents a challenging problem in the field of image analysis and computer vision. The security of information is becoming very significant and difficult. Security cameras are presently common in airports, Offices, University, ATM, Bank and in any locations with a security system. Face recognition is a biometric system used to identify or verify a person from a digital image. Face Recognition system is used in security. Face recognition system should be able to automatically detect a face in an image. This involves extracts its features and then recognize it, regardless of lighting, expression, illumination, ageing, transformations (translate, rotate and scale image) and pose, which is a difficult task. This paper contains three sections. The first section describes the common methods like holistic matching method, feature extraction method and hybrid methods. The second section describes applications with examples and finally third section describes the future research directions of face recognition.