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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 12, ISSUE 6, JUNE 2023

Face Recognition System

Kiran Kartik Goldar, Neehal B. Jiwane, Ashish B. Deharkar

DOI: 10.17148/IJARCCE.2023.12617
Abstract- In present times, face recognition has come one of the stylish technologies for computer vision. Face recognition is always a veritably delicate task in computer vision, illumination, disguise, facial expression. Face recognition tracks target objects in live videotape images taken with a videotape camera. In simple words, it's a system operation for automatically relating a person from a still image or videotape frame. In this broadside we planned an automatic expression gratitude scheme. This operation grounded on face discovery, point birth and recognition algorithms, which automatically detects the mortal face when the person in front of the camera feting him. We used KLT Algorithm, Viola- Jones Algorithm face discovery which descry mortal face using Haar waterfall classifier, still camera is continuously detecting the face every frame, PCA algorithm for point selection. We apply a model combining to match the geometric characteristics of the mortal face.

How to Cite:

[1] Kiran Kartik Goldar, Neehal B. Jiwane, Ashish B. Deharkar, “Face Recognition System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12617