Titlebook: Biometric Recognition; 13th Chinese Confere Jie Zhou,Yunhong Wang,Zhenhua Guo Conference proceedings 2018 Springer Nature Switzerland AG 20

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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(xué)科排名




書目名稱Biometric Recognition網(wǎng)絡(luò)公開度




書目名稱Biometric Recognition網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Biometric Recognition被引頻次




書目名稱Biometric Recognition被引頻次學(xué)科排名




書目名稱Biometric Recognition年度引用




書目名稱Biometric Recognition年度引用學(xué)科排名




書目名稱Biometric Recognition讀者反饋




書目名稱Biometric Recognition讀者反饋學(xué)科排名

FLIP

nugatory

敵手

Reference work 2017Latest editionherefore significant for finger-vein recognition improvement. In this paper, we propose a novel feature encoding method based on local graph structure (LGS), which behaves better in improving the matching accuracy of features. In terms of the variations of veins in running direction, oriented Gabor

FEAT

Teresa L. McCarty,Serafín M. Coronel-Molinay to achieve high recognition accuracy. To extract pores accurately and robustly, we propose a novel coarse-to-fine detection method based on convolutional neural networks (CNN) and logical operation. More specifically, pore candidates are coarsely estimated using logical operation at first; then, c

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包租車船

Hemiplegia

Anna Solin,Hanna-Mari Pienim?kised. However, most of the existing image acquisition systems are based on commercial equipment which has high cost, big equipment volume, over-high precision and long 3D data generation time. What’s more, those systems are not designed specialized for palmprint. Most of their parameters are not suit

Aspirin

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