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Hand-dorsa vein recognition is solved based on the convolutional activations of the pre-trained deep convolutional neural network (DCNN). In specific, a novel task-specific cross-convolutional-layer pooling is proposed to obtain the more representative and discriminative feature representation. Rigorous experiments on the self-established database achieves the state-of-the-art recognition result, which demonstrates the effectiveness of the proposed model. key words: hand-dorsa vein recognition, pre-trained DCNN, task-specific cross-convolutional-layer pooling

Hand-Dorsa Vein Recognition Based on Task-Specific Cross-Convolutional-Layer Pooling