Feature combination for binary pattern classification

@article{Hassan2014FeatureCF,
  title={Feature combination for binary pattern classification},
  author={Ehtesham Hassan and Santanu Chaudhury and Madan Gopal},
  journal={International Journal on Document Analysis and Recognition (IJDAR)},
  year={2014},
  volume={17},
  pages={375-392}
}
The paper presents a novel framework for large class, binary pattern classification problem by learning-based combination of multiple features. In particular, class of binary patterns including characters/primitives and symbols has been considered in the scope of this work. We demonstrate novel binary multiple kernel learning-based classification architecture for applications including such problems for fast and efficient performance. The character/primitive classification problem primarily… CONTINUE READING