Classifier Combination Types for Biometric Applications

Abstract

In this paper we present four types of classifier combinations determined by the numbers of trained combining functions and their input parameters. We discuss the usage of these combination types in biometric applications and give an example of suboptimal combination as a result of choosing non-appropriate combination type. Finally, we present results of combinations in biometric identification systems utilizing similar methods, but related to different combination types.

Cite

Text

Tulyakov and Govindaraju. "Classifier Combination Types for Biometric Applications." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006. doi:10.1109/CVPRW.2006.54

Markdown

[Tulyakov and Govindaraju. "Classifier Combination Types for Biometric Applications." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006.](https://mlanthology.org/cvprw/2006/tulyakov2006cvprw-classifier/) doi:10.1109/CVPRW.2006.54

BibTeX

@inproceedings{tulyakov2006cvprw-classifier,
  title     = {{Classifier Combination Types for Biometric Applications}},
  author    = {Tulyakov, Sergey and Govindaraju, Venu},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2006},
  pages     = {58},
  doi       = {10.1109/CVPRW.2006.54},
  url       = {https://mlanthology.org/cvprw/2006/tulyakov2006cvprw-classifier/}
}