Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features

Abstract

In this paper, we present a face and palmprint multimodal biometric identification method and system to improve the identification performance. Effective classifiers based on ordinal features are constructed for faces and palmprints, respectively. Then, the matching scores from the two classifiers are combined using several fusion strategies. Experimental results on a middle-scale data set have demonstrated the effectiveness of the proposed system.

Cite

Text

Chu et al. "Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383522

Markdown

[Chu et al. "Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/chu2007cvpr-fusion/) doi:10.1109/CVPR.2007.383522

BibTeX

@inproceedings{chu2007cvpr-fusion,
  title     = {{Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features}},
  author    = {Chu, Rufeng and Liao, Shengcai and Han, Yufei and Sun, Zhenan and Li, Stan Z. and Tan, Tieniu},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383522},
  url       = {https://mlanthology.org/cvpr/2007/chu2007cvpr-fusion/}
}