• D.DHAYALAN
• Dr.P.Jyotheeswari
• Narayanan

Face recognition is among the most reliable biometric identification methods, along with fingerprints, DNA, palm prints, hand geometry, iris recognition, and retina. Face recognition uses the distinctiveness of faces to enable biometric identification for security purposes. The limitations of facial recognition utilising biometric identification are the drawn-out process and erroneous findings. This essay makes suggestions for ways to speed up facial recognition while maintaining accuracy. Machine learning was used to complete the proposed facial recognition procedure. Multiple faces might be accurately identified using our improved face recognition technique.

Criminal Identification, Facial recognition, Real-time, Open Cv

"A REAL TIME CRIMINAL FACE RECOGNITION USING AN AUTOMATED SURVEILLANCE CAMERA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.m616-m619, May-2023, Available :http://www.jetir.org/papers/JETIR2305C86.pdf

"A REAL TIME CRIMINAL FACE RECOGNITION USING AN AUTOMATED SURVEILLANCE CAMERA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppm616-m619, May-2023, Available at : http://www.jetir.org/papers/JETIR2305C86.pdf