Performance Evaluation of Face Recognition System using various Distance Classifiers

Preeti, .; Kumar, Dinesh

doi:10.1109/iccmc.2018.8487835

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2021

2022

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Cited by 2 publications

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“…Moving further Preeti et al [39] in 2018studied effects of various distance classifiers on performance of anFR System over ORL database. Features were extracted using DCT-PCA and LDA and further selection was done using Cuckoo Search Algorithm.…”

Section: Feature Selectionmentioning

confidence: 98%

A Comprehensive Survey of Feature Extraction and Feature Selection Techniques of Face Recognition System

Saini¹,

Malhotra²

2021

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICA

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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 anextensive literature review on face recognition focusing on feature extraction and feature selection phases a bit more.

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Section: Feature Selectionmentioning

confidence: 98%