Distance metric optimization driven convolutional neural network for age invariant face recognition.

•Propose a new distance metric optimization driven deep-learning framework for age-invariant face recognition.•Learn feature representations and the similarity measure simultaneously in an end-to-end way.•Train the joint network using a novel optimization method and carefully designed training strategies.•The experimental results demonstrate the effectiveness of our approach.