Comprehensive Study of Face Recognition Using Feature Extraction and Fusion Face Technique

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Author(s): Jayanti Mehra (Lakshmi Narain College of Technology, Bhopal, India)and Neelu Singh (Lakshmi Narain College of Technology, Bhopal, India)
Copyright: 2023
Pages: 18
Source title: Concepts and Techniques of Graph Neural Networks
Source Author(s)/Editor(s): Vinod Kumar (Koneru Lakshmaiah Education Foundation (Deemed), India)and Dharmendra Singh Rajput (VIT University, India)
DOI: 10.4018/978-1-6684-6903-3.ch013

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference / Neural Networks

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Abstract

Face recognition is a process by which the identity of a person is determined from the face images stored in a face database. Face recognition is one of the most successful applications of image analysis. In the present scenario, face recognition plays a major role in commercial and law enforcement applications, such as surveillance system, passport, security, personal information accesses, human machine interaction, etc. At present, very reliable methods of biometric personal identification exist. In face recognition, a feature vector usually represents the salient characteristics that best describe a face image. However, these characteristics vary quite substantially while looking into a face image from different directions. This chapter addresses this issue by means of image fusion and presents a comprehensive study of different image fusion techniques for face recognition. Image fusion is done between the original captured image and its true/partial diagonal images.

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Comprehensive Study of Face Recognition Using Feature Extraction and Fusion Face Technique

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