Titlebook: Biometric Recognition; 17th Chinese Confere Wei Jia,Wenxiong Kang,Jun Wang Conference proceedings 2023 The Editor(s) (if applicable) and Th

patch-test

书目名称Biometric Recognition影响因子(影响力)




书目名称Biometric Recognition影响因子(影响力)学科排名




书目名称Biometric Recognition网络公开度




书目名称Biometric Recognition网络公开度学科排名




书目名称Biometric Recognition被引频次




书目名称Biometric Recognition被引频次学科排名




书目名称Biometric Recognition年度引用




书目名称Biometric Recognition年度引用学科排名




书目名称Biometric Recognition读者反馈




书目名称Biometric Recognition读者反馈学科排名

Adjourn

Kaleidoscope

adjacent

Root494

MultiBioGM: A Hand Multimodal Biometric Model Combining Texture Prior Knowledge to Enhance Generalizralization model MultiBioGM. Experimental results on three multimodal datasets demonstrate the effectiveness of our model for biometrics, which achieves 0.098%, 0.024%, and 0.117% EERs on unobserved data.

STEER

Psychogenic

Facial Adversarial Sample Augmentation for Robust Low-Quality 3D Face Recognitionodule, a distribution alignment loss is designed to make the distribution of facial adversarial samples gradually close to the one of the original facial samples, and the common and valuable information from both distributions can be effectively extracted. Extensive experiments conducted on the CAS-

Melodrama

幻影

More on Generalized Derivatives, palmprint images. Lastly, we reconstruct the super-resolution palmprint images with clear palmprint-specific texture and edge characteristics via two convolutional layers with embedding a PixelShuffle. Experimental results on three public palmprint databases clearly show the effectiveness of the pr

上腭