Using Genetic Algorithms to Improve Matching Performance of Changeable Biometrics from Combining PCA and ICA Methods

Cite

Text

Jeong et al. "Using Genetic Algorithms to Improve Matching Performance of Changeable Biometrics from Combining PCA and ICA Methods." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383384

Markdown

[Jeong et al. "Using Genetic Algorithms to Improve Matching Performance of Changeable Biometrics from Combining PCA and ICA Methods." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/jeong2007cvpr-using/) doi:10.1109/CVPR.2007.383384

BibTeX

@inproceedings{jeong2007cvpr-using,
  title     = {{Using Genetic Algorithms to Improve Matching Performance of Changeable Biometrics from Combining PCA and ICA Methods}},
  author    = {Jeong, MinYi and Choi, Jeung-Yoon and Kim, Jaihie},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383384},
  url       = {https://mlanthology.org/cvpr/2007/jeong2007cvpr-using/}
}