Research Article
A Comprehensive Survey of Feature Extraction and Feature Selection Techniques of Face Recognition System
@INPROCEEDINGS{10.4108/eai.16-5-2020.2303968, author={Swati Saini and Preeti Malhotra}, title={A Comprehensive Survey of Feature Extraction and Feature Selection Techniques of Face Recognition System}, proceedings={Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India}, publisher={EAI}, proceedings_a={ICASISET}, year={2021}, month={1}, keywords={face recognition (fr) feature extraction principal component analysis (pca) feature selection}, doi={10.4108/eai.16-5-2020.2303968} }- Swati Saini
Preeti Malhotra
Year: 2021
A Comprehensive Survey of Feature Extraction and Feature Selection Techniques of Face Recognition System
ICASISET
EAI
DOI: 10.4108/eai.16-5-2020.2303968
Abstract
Among various types of biometric techniques it is the face recognition that gains huge popularity in the last few decades due to its vast applicationsand more user friendly nature.Face Recognition is the procedure of identification and verification of a person's identity using his face. Main steps involved in a FR System are Face Detection, Feature Extraction, Feature Selection and Recognition. Feature Extraction and Feature Selection are the two main phases to be focused on in order to get a good FR System. In this paper, we have carried out an extensive literature review on face recognition focusing on feature extraction and feature selection phases a bit more.
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