Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
@article{Baisa2021HandBasedPI, title={Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning}, author={Nathanael L. Baisa and Zheheng Jiang and Ritesh Vyas and Bryan Williams and Hossein Rahmani and P. Angelov and Sue Black}, journal={ArXiv}, year={2021}, volume={abs/2101.05260} }
In cases of serious crime, including sexual abuse, often the only available information with demonstrated potential for identification is images of the hands. Since this evidence is captured in uncontrolled situations, it is difficult to analyse. As global approaches to feature comparison are limited in this case, it is important to extend to consider local information. In this work, we propose hand-based person identification by learning both global and local deep feature representation. Our… Expand
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