Discriminant orientation and scale features learning with application to palmprint recognition

@article{Ma2017DiscriminantOA,
  title={Discriminant orientation and scale features learning with application to palmprint recognition},
  author={Fei Ma and Xiaoke Zhu and Xiao-Yuan Jing},
  journal={2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)},
  year={2017},
  pages={620-625}
}
Palmprint recognition has now become an important identity recognition technique. Palmprint image contains abundant texture features, especially the orientation and scale features of palm lines. Existing palmprint recognition methods using texture features can be roughly categorized into two classes: coding based and local descriptor based methods. As… CONTINUE READING