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Titlebook: Biometric Recognition; 16th Chinese Confere Weihong Deng,Jianjiang Feng,Zhaofeng He Conference proceedings 2022 The Editor(s) (if applicabl

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樓主: 小天使
31#
發(fā)表于 2025-3-26 22:15:27 | 只看該作者
32#
發(fā)表于 2025-3-27 02:34:42 | 只看該作者
33#
發(fā)表于 2025-3-27 08:35:01 | 只看該作者
The Language Question in Africa, methods, our method outperforms the best one by about 2% of F1-score in minutiae extraction, and achieves the improvement of 0.09% than the best one in matching performance, which further demonstrate the effectiveness and robustness of our proposed method.
34#
發(fā)表于 2025-3-27 12:37:41 | 只看該作者
Situating Language Acquisition Planning,global reasoning module is used as a connection between the shallow and deeper networks to capture information between distant regions in palmprint images. Finally, we conduct sufficient experiments on constrained and unconstrained palmprint databases, which demonstrates the effectiveness of our method.
35#
發(fā)表于 2025-3-27 14:20:23 | 只看該作者
Mark Fettes,Fatemeh Mahbod Karamouzianthat MultiVein can acquire reflection or transmission NIR dorsal hand vein images with high quality and effective acquisition. It was believed that MultiVein has promising application in DHV biometrics and health care.
36#
發(fā)表于 2025-3-27 19:15:01 | 只看該作者
Language Policy and Language Planningthe SuperPoint model. Finally, the keypoints are matched by a bilateral strategy. Experiments on the HKPU and SDU-MLA databases demonstrate the effectiveness of the proposed method in real applications, the EERs are 0.0025 and 0.0138, with the FRRs-at-0-FAR of 0.0218 and 0.0890, respectively.
37#
發(fā)表于 2025-3-28 01:41:20 | 只看該作者
A Finger Bimodal Fusion Algorithm Based on Improved Densenetradation caused by insufficient correlation between different modes in the fusion process, and it can effectively improve the recognition accuracy. Finally, we verify it on two public multimodal datasets and achieve good results.
38#
發(fā)表于 2025-3-28 06:09:54 | 只看該作者
39#
發(fā)表于 2025-3-28 07:55:42 | 只看該作者
Cross-dataset Image Matching Network for?Heterogeneous Palmprint Recognitionglobal reasoning module is used as a connection between the shallow and deeper networks to capture information between distant regions in palmprint images. Finally, we conduct sufficient experiments on constrained and unconstrained palmprint databases, which demonstrates the effectiveness of our method.
40#
發(fā)表于 2025-3-28 13:08:49 | 只看該作者
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