A CONVOLUTIONAL NEURAL NETWORK (CNN) APPROACH TO DETECT FACE USING TENSORFLOW AND KERAS
Reny Jose · SSRN Electronic Journal · 2019
Face recognition is used in a variety of aspects in the modern world. Face detection means to identify the face from a digital image. The deep neural network is considered a powerful tool as it can handle huge amounts of data .conventional neural network is one most popular tool to detect face detection. In this paper, a deep convolutional neural network (CNN) to extract features from input images. Keras is used for implementing CNN also D’lib and OpenCV for aligning faces on input images. Face recognition performance is evaluated using a custom dataset.