activity
20172022
most citedFrom Noise to Feature: Exploiting Intensity Distribution as a Novel Soft Biometric Trait for Finger Vein Recognition

74 citations · 79 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 1 cited

Geometric Synthesis: A Free lunch for Large-scale Palmprint Recognition Model Pretraining

Kai Zhao, Lei Shen, Yingyi Zhang +6

Palmprints are private and stable information for biometric recognition. In the deep learning era, the development of palmprint recognition is limited by the lack of sufficient tra…

cs.CV2021★ 74 cited

From Noise to Feature: Exploiting Intensity Distribution as a Novel Soft Biometric Trait for Finger Vein Recognition

Wenxiong Kang, Yuting Lu, Dejian Li +1

Most finger vein feature extraction algorithms achieve satisfactory performance due to their texture representation abilities, despite simultaneously ignoring the intensity distrib…

cs.CV2021

Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement

Zhaoqun Li, Xu Liang, Dandan Fan +3

With the growing demand for hand hygiene and convenience of use, palmprint recognition with touchless manner made a great development recently, providing an effective solution for…

cs.CV2018★ 4 cited

End-to-End Detection and Re-identification Integrated Net for Person Search

Zhenwei He, Lei Zhang, Wei Jia

This paper proposes a pedestrian detection and re-identification (re-id) integration net (I-Net) in an end-to-end learning framework. The I-Net is used in real-world video surveill…

cs.CV2017

Local Patch Encoding-Based Method for Single Image Super-Resolution

Yang Zhao, Ronggang Wang, Wei Jia +3

Recent learning-based super-resolution (SR) methods often focus on dictionary learning or network training. In this paper, we discuss in detail a new SR method based on local patch…