A HMM-Based Approach to Recognize Ultra Low Resolution Anti-Aliased Words

Farshideh Einsele, Rolf Ingold, Jean Hennebert. A HMM-Based Approach to Recognize Ultra Low Resolution Anti-Aliased Words. In Ashish Ghosh, Rajat K. De, Sankar K. Pal, editors, Pattern Recognition and Machine Intelligence, Second International Conference, PReMI 2007, Kolkata, India, December 18-22, 2007, Proceedings. Volume 4815 of Lecture Notes in Computer Science, pages 511-518, Springer, 2007. [doi]

@inproceedings{EinseleIH07,
  title = {A HMM-Based Approach to Recognize Ultra Low Resolution Anti-Aliased Words},
  author = {Farshideh Einsele and Rolf Ingold and Jean Hennebert},
  year = {2007},
  doi = {10.1007/978-3-540-77046-6_63},
  url = {http://dx.doi.org/10.1007/978-3-540-77046-6_63},
  tags = {rule-based, systematic-approach},
  researchr = {https://researchr.org/publication/EinseleIH07},
  cites = {0},
  citedby = {0},
  pages = {511-518},
  booktitle = {Pattern Recognition and Machine Intelligence, Second International Conference, PReMI 2007, Kolkata, India, December 18-22, 2007, Proceedings},
  editor = {Ashish Ghosh and Rajat K. De and Sankar K. Pal},
  volume = {4815},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-77045-9},
}