Finger-vein biometric identification using convolutional neural network

A reduced-complexity four-layer CNN with fused convolutional-subsampling architecture is proposed for finger-vein recognition and modified and applied the stochastic diagonal Levenberg{Marquardt algorithm, which results in a faster convergence time.