AGE AND GENDER DETECTION USING DEEP LEARNING TECHNIQUES

Today most likely active research areas are pattern recognition and automatic classification. Our main motive is to identify the objects clearly and achieve a result that is much better to understand. Biometrics are the main features of this paper which we all know are generally used in the matter of security. In recent years facial modality and biometrics security have evolved so much. The very kind purpose of this research paper is to calculate the age and determine the gender of the person. With the use of CNN and a structure of 3 basic models, we have created our model.[1]It basically works on IMDB and WIKI datasets, the results of which show the accuracy and the essential measures.