An Efficient Feature Vector for Segmentation-Free Recognition of Online Cursive Handwriting Based on a Hybrid Deep Neural Network

Partha Sarathi Mukherjee, Ujjwal Bhattacharya, Swapan Kumar Parui. An Efficient Feature Vector for Segmentation-Free Recognition of Online Cursive Handwriting Based on a Hybrid Deep Neural Network. In 13th IAPR International Workshop on Document Analysis Systems, DAS 2018, Vienna, Austria, April 24-27, 2018. pages 435-440, IEEE Computer Society, 2018. [doi]

@inproceedings{MukherjeeBP18,
  title = {An Efficient Feature Vector for Segmentation-Free Recognition of Online Cursive Handwriting Based on a Hybrid Deep Neural Network},
  author = {Partha Sarathi Mukherjee and Ujjwal Bhattacharya and Swapan Kumar Parui},
  year = {2018},
  doi = {10.1109/DAS.2018.77},
  url = {http://doi.ieeecomputersociety.org/10.1109/DAS.2018.77},
  researchr = {https://researchr.org/publication/MukherjeeBP18},
  cites = {0},
  citedby = {0},
  pages = {435-440},
  booktitle = {13th IAPR International Workshop on Document Analysis Systems, DAS 2018, Vienna, Austria, April 24-27, 2018},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-3346-5},
}