• GUNASEKARAN .P
• K.MAHALAKSHMI
• GODSON SHALOM KING
• CHANDRU.A

Darkness is the opposite state of brightness, resulting from the absence of perceived light and light. In general, facial recognition applications cannot detect a person's face in a dark image where the image is taken in a dark environment or at night. In this manuscript, we present our experiments using contrast stretching, histogram smoothing, and adaptive equalization techniques to detect human faces in any dark image. This paper also illustrates our proposed algorithm, operation procedure and pixel intensity extraction from different stages of image processing. We do this research mainly from the perspective of applications where the software detects a human face from a dark photo or image with very low contrast and the image is taken from an environment that is too dark.

"UNSUPERVISED FACE DETECTION IN DARK AND LOW LIGHT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.k240-k247, May-2023, Available :http://www.jetir.org/papers/JETIR2305A31.pdf

"UNSUPERVISED FACE DETECTION IN DARK AND LOW LIGHT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppk240-k247, May-2023, Available at : http://www.jetir.org/papers/JETIR2305A31.pdf