A Touching Character Database from Tibetan Historical Documents to Evaluate the Segmentation Algorithm

Quanchao Zhao, Long-Long Ma, Lijuan Duan. A Touching Character Database from Tibetan Historical Documents to Evaluate the Segmentation Algorithm. In Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou 0001, Tieniu Tan, Nanning Zheng, Hongbin Zha, editors, Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part IV. Volume 11259 of Lecture Notes in Computer Science, pages 309-321, Springer, 2018. [doi]

@inproceedings{ZhaoMD18,
  title = {A Touching Character Database from Tibetan Historical Documents to Evaluate the Segmentation Algorithm},
  author = {Quanchao Zhao and Long-Long Ma and Lijuan Duan},
  year = {2018},
  doi = {10.1007/978-3-030-03341-5_26},
  url = {https://doi.org/10.1007/978-3-030-03341-5_26},
  researchr = {https://researchr.org/publication/ZhaoMD18},
  cites = {0},
  citedby = {0},
  pages = {309-321},
  booktitle = {Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part IV},
  editor = {Jian-Huang Lai and Cheng-Lin Liu and Xilin Chen and Jie Zhou 0001 and Tieniu Tan and Nanning Zheng and Hongbin Zha},
  volume = {11259},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-03341-5},
}