FACE RECOGNITION AND AGE DETECTION

Abstract

Authenticity is one of the main aspects needed in today’s world, Age estimation and face recognition are the most robust techniques to maintain Authenticity. In today’s world fraud and scam are on the rise and to curb all of this we have implemented this project. Our field of study is computer vision, Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. Computer vision uses techniques from machine learning and, in turn, some machine learning techniques are developed especially for computer vision. Face recognition has been implemented by our team using neural networks for deep leaning (CNN). Though there are other techniques also to implement this like Local binary pattern histograms (LBPH), But CNN to this date gives the highest accuracy. Age estimation is a relatively new work which is not very successful but we have tried to follow [1] Gil Levi and Tal Hassner(2015) ,Age and Gender Classification Using Convolutional Neural Networks. which can successfully estimate the age of a person from an image or webcam. Our team has used their code for Age estimation using anaconda python and OpenCV.