Comparison of Various Face Recognition Algorithms in ML/DS

Face recognition software is a piece of computer hardware that employs several algorithms to recognize faces in digital photos, identify people, and then confirm the authenticity of the acquired images by comparing them to facial images that have already been saved in a database. The field of comput...

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Bibliographic Details
Published in:	2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) pp. 126 - 131
Main Authors:	Annamareddy, Nivas, Donepudi, Lakshmi Gayatri, Parvathaneni, Lahari, Brahma Rao, K. B. V., Putta, Jaisri, Yellamma, Pachipala
Format:	Conference Proceeding
Language:	English
Published:	IEEE 23-03-2023
Subjects:	Adaboost dataset Face recognition Hardware HSI Image recognition KLT Neural network Neural networks principal component analysis Smart attendance Software Software algorithms Surveillance SVM Viola Jones
Online Access:	Get full text
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Summary:	Face recognition software is a piece of computer hardware that employs several algorithms to recognize faces in digital photos, identify people, and then confirm the authenticity of the acquired images by comparing them to facial images that have already been saved in a database. The field of computer vision includes the essential problem of facial recognition, which has been extensively researched by several researchers. This topic is crucial, particularly for specific applications like surveillance technology. This survey article's main objective is to compare the various facial recognition algorithms.
DOI:	10.1109/ICSCDS56580.2023.10104690