Age & Gender Recognition Using Deep Learning

Human face image analysis is an important area of research in the science of computer vision. The human face conveys a wealth of information about their particular qualities. One of the most essential challenges in computer vision is recognising a person’s gender and age from a facial picture. The most significant characteristics derived from human faces are the eyes, nose, mouth, brows, and so on. These characteristics are employed in a variety of Human-Computer Interaction sectors, including security systems, judicial systems, transportation, medical, and many more. The first stage of age and gender recognition is detecting face from the inputted image. There are different techniques for face detection. The next stage is pre-processing where cropping and resizing of image for fast processing the last stage is feature extraction and classification by using deep convolution network. The various methods involved in these stages are studied and from the study building an Age and Gender Recognition System using deep learning.