Performance Improvement of Dot-Matrix Character Recognition by Variation Model Based Learning

Koji Endo, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura. Performance Improvement of Dot-Matrix Character Recognition by Variation Model Based Learning. In C. V. Jawahar, Shiguang Shan, editors, Computer Vision - ACCV 2014 Workshops - Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part II. Volume 9009 of Lecture Notes in Computer Science, pages 147-156, Springer, 2014. [doi]

@inproceedings{EndoOWK14,
  title = {Performance Improvement of Dot-Matrix Character Recognition by Variation Model Based Learning},
  author = {Koji Endo and Wataru Ohyama and Tetsushi Wakabayashi and Fumitaka Kimura},
  year = {2014},
  doi = {10.1007/978-3-319-16631-5_11},
  url = {http://dx.doi.org/10.1007/978-3-319-16631-5_11},
  researchr = {https://researchr.org/publication/EndoOWK14},
  cites = {0},
  citedby = {0},
  pages = {147-156},
  booktitle = {Computer Vision - ACCV 2014 Workshops - Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part II},
  editor = {C. V. Jawahar and Shiguang Shan},
  volume = {9009},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-16630-8},
}