• MOHD VIKAR
• UMAR HASAN
• MAAZ AHMAD
• ABU SEHEL
• DR PRAVEEN KUMAR,MRS MANSI AGGARWAL

Identifying a person with an image has been popularised through the mass media. However, it is less robust to fingerprint or retina scanning. This report describes the face detection and recognition mini-project undertaken for the visual perception and autonomy module at Plymouth university. It reports the technologies available in the Open-Computer-Vision (OpenCV) library and methodology to implement them using Python. For face detection, Haar-Cascades were used and for face recognition Eigenfaces, Fisherfaces and Local binary pattern histograms were used. The methodology is described including flow charts for each stage of the system. Next, the results are shown including plots and screen-shots followed by a discussion of encountered challenges. The report is concluded with the authors’ opinion on the project and possible applications. In this report, we use two approaches for detecting a face and track it continuously. Basically video sequences provide more information than a still image.Whereas the Viola Jones algorithm is used detect the face based on the haar features. We have modified the Algorithm to make its working, a bit more efficient than what it was.

Python,Open CV,Face Recognisation

"(FACE RECOGNITION SYSTEM USING OPEN CV)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.m167-m176, May-2023, Available :http://www.jetir.org/papers/JETIR2305C25.pdf

"(FACE RECOGNITION SYSTEM USING OPEN CV)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppm167-m176, May-2023, Available at : http://www.jetir.org/papers/JETIR2305C25.pdf