• Joydeep Chandra
• Smita Shinde
• Amrit Raj Shankar
• Vikram Kumar Jha
• Annu

Face detection is one of the most widely used computer vision applications. It is a fundamental problem in computer vision and pattern recognition. In the last decade, multiple face feature detection methods have been introduced. In recent years, the success of deep learning and convolutional neural networks (CNN) have recently shown great results in powering highly-accurate face detection solutions. Face detection is a computer technology that determines the location and size of a human face in digital images. Given an image, the goal of facial recognition is to determine whether there are any faces and return the bounding box of each detected face (see object detection). Face detection is the necessary first step for all facial analysis algorithms, including face alignment, face recognition, face verification, and face parsing. Also, facial recognition is used in multiple areas such as content-based image retrieval, video coding, video conferencing, crowd video surveillance, and intelligent human-computer interfaces. The detection of human faces is a difficult computer vision problem. Mainly because the human face is a dynamic object and has a high degree of variability in its appearance. In recent years, facial recognition techniques have achieved significant progress.

face detection, ai, ml, OpenCV TensorFlow

"Gender Determination Using Facial Recognition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.e223-e228, September-2023, Available :http://www.jetir.org/papers/JETIR2309425.pdf

"Gender Determination Using Facial Recognition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppe223-e228, September-2023, Available at : http://www.jetir.org/papers/JETIR2309425.pdf