Hand-Dorsa Vein Recognition Based on Task-Specific Cross-Convolutional-Layer Pooling
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. Rigo...
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Veröffentlicht in: | IEICE Transactions on Information and Systems 2019/12/01, Vol.E102.D(12), pp.2628-2631 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | 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. |
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ISSN: | 0916-8532 1745-1361 |
DOI: | 10.1587/transinf.2019EDL8119 |