• Reny Jose

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.

Machine learning. Deep learning. Convolutional neural network OpenCV, Face Recognition.

"A CONVOLUTIONAL NEURAL NETWORK (CNN) APPROACH TO DETECT FACE USING TENSORFLOW AND KERAS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.97-103, May 2019, Available :http://www.jetir.org/papers/JETIRDA06018.pdf

"A CONVOLUTIONAL NEURAL NETWORK (CNN) APPROACH TO DETECT FACE USING TENSORFLOW AND KERAS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp97-103, May 2019, Available at : http://www.jetir.org/papers/JETIRDA06018.pdf