派博傳思國際中心

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

作者: 小天使    時間: 2025-3-21 19:25
書目名稱Biometric Recognition影響因子(影響力)




書目名稱Biometric Recognition影響因子(影響力)學科排名




書目名稱Biometric Recognition網(wǎng)絡公開度




書目名稱Biometric Recognition網(wǎng)絡公開度學科排名




書目名稱Biometric Recognition被引頻次




書目名稱Biometric Recognition被引頻次學科排名




書目名稱Biometric Recognition年度引用




書目名稱Biometric Recognition年度引用學科排名




書目名稱Biometric Recognition讀者反饋




書目名稱Biometric Recognition讀者反饋學科排名





作者: 終止    時間: 2025-3-22 00:08

作者: 勤勉    時間: 2025-3-22 02:32

作者: Vo2-Max    時間: 2025-3-22 05:06

作者: 天文臺    時間: 2025-3-22 10:55

作者: Soliloquy    時間: 2025-3-22 13:57

作者: 課程    時間: 2025-3-22 20:55

作者: 一大塊    時間: 2025-3-22 21:45

作者: 門閂    時間: 2025-3-23 05:01

作者: AVANT    時間: 2025-3-23 09:08

作者: FANG    時間: 2025-3-23 13:34
SP-FVR: SuperPoint-Based Finger Vein Recognitionadopted keypoint descriptors may be insufficient in keypoint quantity and descriptor distinctiveness, since they are generally artificially-designed and sensitive to the poor quality of the finger vein images. To address the above-mentioned problem, an automatically-learned keypoint-based method uti
作者: 脆弱么    時間: 2025-3-23 17:18
TransFinger: Transformer Based Finger Tri-modal Biometricsloring multi-modal biometric fusion recognition of fingers is very meaningful for improving the security and stability of finger feature expression. Due to the differences in the expression of different modal features, the interaction mode and fusion strategy between different modalities are the key
作者: Curmudgeon    時間: 2025-3-23 21:27
A Survey of?Domain Generalization-Based Face Anti-spoofingralization techniques have been widely exploited for adapting face anti-spoofing models to unseen testing scenarios. In this paper, we present a comprehensive survey on domain generalization-based face anti-spoofing methods. Specifically, we propose a taxonomy for existing methods and conduct a thor
作者: Critical    時間: 2025-3-24 01:14

作者: 苦笑    時間: 2025-3-24 02:32

作者: pacific    時間: 2025-3-24 10:22

作者: Infiltrate    時間: 2025-3-24 11:12

作者: 開始沒有    時間: 2025-3-24 16:05
The Language Question in Africa,pendent intellectual property rights. Biometric recognition technologies require increasing investment and targeted niche research if they are to play a more significant role in forensic science in the future.
作者: painkillers    時間: 2025-3-24 21:27
Language Policy and Language Planningommonly used datasets and evaluation metrics, and also analyze the performance of existing methods to uncover key factors affecting the generalization performance. Finally, we conclude this survey with a forecast on promising future research directions.
作者: CYN    時間: 2025-3-24 23:22
https://doi.org/10.1007/978-1-137-57647-7ng offset to facilitate the training of gaze pathway and we add the channel attention module. We use Transformer to capture the relationship between the person and the predicted target in the heatmap pathway. Experimental results have demonstrated the effectiveness of our solution on GazeFollow dataset and DL Gaze dataset.
作者: antipsychotic    時間: 2025-3-25 04:00
An Overview and Forecast of Biometric Recognition Technology Used in Forensic Sciencependent intellectual property rights. Biometric recognition technologies require increasing investment and targeted niche research if they are to play a more significant role in forensic science in the future.
作者: Efflorescent    時間: 2025-3-25 08:36

作者: 步履蹣跚    時間: 2025-3-25 14:26
Estimation of Gaze-Following Based on Transformer and the Guiding Offsetng offset to facilitate the training of gaze pathway and we add the channel attention module. We use Transformer to capture the relationship between the person and the predicted target in the heatmap pathway. Experimental results have demonstrated the effectiveness of our solution on GazeFollow dataset and DL Gaze dataset.
作者: adduction    時間: 2025-3-25 17:38
https://doi.org/10.1057/9780230502666 only has global and local correlation to achieve accurate extraction of veins, but also enables the model to maintain its lightweight characteristics. Our approach achieves good results on the public finger vein dataset SDU-FV, MMCBNU_6000.
作者: CUMB    時間: 2025-3-25 22:34

作者: 災禍    時間: 2025-3-26 03:28
A Lightweight Segmentation Network Based on Extraction only has global and local correlation to achieve accurate extraction of veins, but also enables the model to maintain its lightweight characteristics. Our approach achieves good results on the public finger vein dataset SDU-FV, MMCBNU_6000.
作者: assent    時間: 2025-3-26 04:56

作者: Infraction    時間: 2025-3-26 10:12

作者: anesthesia    時間: 2025-3-26 14:46
Conclusion: Community and Transcendencedifferent types of adversarial faces. Experimental results over adversarial examples and face forgery attacks show that the proposed detection method is effective with better generalizability and more adversarially robust comparing with previous methods.
作者: BRIEF    時間: 2025-3-26 19:04
Disentanglement of?Deep Features for?Adversarial Face Detectiondifferent types of adversarial faces. Experimental results over adversarial examples and face forgery attacks show that the proposed detection method is effective with better generalizability and more adversarially robust comparing with previous methods.
作者: 場所    時間: 2025-3-26 22:15

作者: Kindle    時間: 2025-3-27 02:34

作者: 柱廊    時間: 2025-3-27 08:35
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.
作者: 名義上    時間: 2025-3-27 12:37
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.
作者: forthy    時間: 2025-3-27 14:20
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.
作者: 巧辦法    時間: 2025-3-27 19:15
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.
作者: Creditee    時間: 2025-3-28 01:41
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.
作者: 思考而得    時間: 2025-3-28 06:09

作者: 有限    時間: 2025-3-28 07:55
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.
作者: Chipmunk    時間: 2025-3-28 13:08

作者: capsule    時間: 2025-3-28 15:18
SP-FVR: SuperPoint-Based Finger Vein Recognitionthe 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.
作者: lattice    時間: 2025-3-28 20:16

作者: 不怕任性    時間: 2025-3-29 01:08
https://doi.org/10.1057/9780230502666 Among them, finger based multimodal biometric recognition is the most common and efficient way. However, biometric recognition has lots of problems such as too high feature dimensions, high computational complexity and insufficient correlation between modal classes. This paper propose an improved D
作者: Boycott    時間: 2025-3-29 05:12
https://doi.org/10.1057/9780230502666k, which may affect the effectiveness of finger vein extraction. In this paper, we propose a global lightweight finger vein segmentation model, TRUnet, and build a lightweight Lightformer module and a plug-and-play module, Global-Lightweight block, in the proposed model respectively. The network not
作者: Limited    時間: 2025-3-29 09:06

作者: Parley    時間: 2025-3-29 13:14

作者: 蔓藤圖飾    時間: 2025-3-29 15:45

作者: Harrowing    時間: 2025-3-29 22:07

作者: Respond    時間: 2025-3-30 01:22

作者: senile-dementia    時間: 2025-3-30 07:43

作者: FELON    時間: 2025-3-30 10:10
Situating Language Acquisition Planning,ng principle, which can cause the imaging area to shift and the vein texture to vanish. However, the algorithms cannot directly handle these issues because there are no reference images in single-view imaging. To this end, this paper uses three multi-view finger vein imaging methods to capture finge
作者: 不持續(xù)就爆    時間: 2025-3-30 13:55
Language Policy and Language Planningayscale stretching are difficult to effectively enhance the vein structure, and it is easy to introduce noise. Therefore, a selective enhancement algorithm for finger vein images based on adaptive guided filtering is proposed. Firstly, a gradient operator weighted guided filter with better edge-pres
作者: 委派    時間: 2025-3-30 19:14
Language Policy and Language Planningadopted keypoint descriptors may be insufficient in keypoint quantity and descriptor distinctiveness, since they are generally artificially-designed and sensitive to the poor quality of the finger vein images. To address the above-mentioned problem, an automatically-learned keypoint-based method uti
作者: SHOCK    時間: 2025-3-31 00:27
Language Policy and Language Planningloring multi-modal biometric fusion recognition of fingers is very meaningful for improving the security and stability of finger feature expression. Due to the differences in the expression of different modal features, the interaction mode and fusion strategy between different modalities are the key
作者: COMMA    時間: 2025-3-31 04:54

作者: 我不重要    時間: 2025-3-31 06:41





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