Home|Journals|Articles by Year

Directory for Medical Articles
 

Review Article

JJCIT. 2021; 7(3): 313-325


COMPARATIVE STUDY OF MACHINE LEARNING AND DEEP LEARNING ALGORITHM FOR FACE RECOGNITION

Nikita Singhal, Vaishali Ganganwar, Menka Yadav, Asha Chauhan, Mahender Jakhar, Kareena Sharma.


Abstract

In the present world, biometric systems are used to analyze and verify a person's distinctive bodily or behavioral features for authentication or recognition. Till now, there are numerous authentication systems that use iris, fingerprint, and face feature for identification and verification where the face recognition based systems are most widely preferred as they do not require user help every time in it and are more automated and easy to function. This review paper provides a comparative study between various face recognition techniques and their hybrid combination. The most commonly used datasets in this domain are also analyzed and reviewed. We have also highlighted the future scope and challenges in this domain, as well as various Deep Learning (DL) based algorithms for facial recognition.

Key words: Face Recognition, Local binary pattern, Convolutional neural networks, Principal component analysis, and Histogram of oriented gradient.






Full-text options


Share this Article



Online Article Submission
• ejmanager.com
• ojshosting.net







Do you want to use OJS for your journal ?
work with an experienced partner
www.OJSHosting.net

eJManager.com
Review(er)s Central
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.