Search Results for author: Zhicheng Cao

Found 6 papers, 0 papers with code

Composite Fixed-Length Ordered Features for Palmprint Template Protection with Diminished Performance Loss

no code implementations9 Nov 2022 Weiqiang Zhao, Heng Zhao, Zhicheng Cao, Liaojun Pang

Finally, composite features that fuse up the double orientations and SURF points are transformed using the irreversible transformation of IOM to generate the revocable palmprint template.

A Demographic Attribute Guided Approach to Age Estimation

no code implementations20 May 2022 Zhicheng Cao, Kaituo Zhang, Liaojun Pang, Heng Zhao

Face-based age estimation has attracted enormous attention due to wide applications to public security surveillance, human-computer interaction, etc.

Age Estimation Attribute +1

A Bidirectional Conversion Network for Cross-Spectral Face Recognition

no code implementations3 May 2022 Zhicheng Cao, Jiaxuan Zhang, Liaojun Pang

Additionally, the proposed rule of Self Adaptive Weighted Fusion (SAWF) is better than the recognition results of the unfused case and other traditional fusion rules that are commonly used, which further justifies the effectiveness and superiority of the proposed bidirectional conversion approach.

Face Recognition

HyperFaceNet: A Hyperspectral Face Recognition Method Based on Deep Fusion

no code implementations2 Aug 2020 Zhicheng Cao, Xi Cen, Liaojun Pang

During the experiments, our method is proved to be of higher recognition rates than face recognition using either visible light or the infrared.

Face Recognition

ROSE: Real One-Stage Effort to Detect the Fingerprint Singular Point Based on Multi-scale Spatial Attention

no code implementations9 Mar 2020 Liaojun Pang, Jiong Chen, Fei Guo, Zhicheng Cao, Heng Zhao

Detecting the singular point accurately and efficiently is one of the most important tasks for fingerprint recognition.

Singular points detection with semantic segmentation networks

no code implementations4 Nov 2019 Jiong Chen, Heng Zhao, Zhicheng Cao, Liaojun Pang

Compared with traditional image processing-based detection methods, methods based on deep learning only need the original fingerprint image but not the fingerprint orientation field.

Semantic Segmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.