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Hand-Dorsa Vein Recognition Based on Task-Specific Cross-Convolutional-Layer Pooling
Jun WANG Yulian LI Zaiyu PAN
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2019/12/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Pattern Recognition
hand-dorsa vein recognition, pre-trained DCNN, task-specific cross-convolutional-layer pooling,
Full Text: FreePDF(1.1MB)
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.