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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 5, MAY 2021

FACE RECOGNITION

Yashwanth kumar reddy K, Gajula Sai Krishna, Dr. Sharmasth Vali Y, Sneha Bagalkot

DOI: 10.17148/IJARCCE.2022.115147

Abstract: Face recognition technology is a biometric development, which relies upon the of facial components of a person. individuals assemble the face pictures, and the recognition gear subsequently processes the photos. The report presents the related explores of face recognition as indicated by substitute perspectives. We present the investigation of face recognition for certifiable conditions, and we present the general evaluation standards and the by and large data bases of face recognition. We give a forward-looking point of view on face recognition. Face recognition has transformed into the future progression heading and has various potential application prospects.

Keywords: Open CV, Image Processing, Deep Learning, Numpy, PyCharm

How to Cite:

[1] Yashwanth kumar reddy K, Gajula Sai Krishna, Dr. Sharmasth Vali Y, Sneha Bagalkot, “FACE RECOGNITION,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.115147