LDA based paper currency recognition system using edge histogram descriptor

@article{Rahman2014LDABP,
  title={LDA based paper currency recognition system using edge histogram descriptor},
  author={Shafin Rahman and Prianka Banik and Shujon Naha},
  journal={2014 17th International Conference on Computer and Information Technology (ICCIT)},
  year={2014},
  pages={326-331}
}
Paper currency recognition is an important concern for automation to improve our daily monetary activities. Such recognition system uses the banknote images to train a classifier for identification of unknown input notes. One of the basic problems of such system is high dimensional representation of the feature vector (more than 100 dimensions) of note images. Moreover, most of the traditional approaches do not consider to minimize intra-class scatter and maximize inter-class scatter. To get… CONTINUE READING