An approach for real-time recognition of online Chinese handwritten sentences
Pattern Recognition
Mobile-based advertisement information retrieval from images and websites
Proceedings of the 20th ACM international conference on Multimedia
Attention-Feedback Based Robust Segmentation of Online Handwritten Isolated Tamil Words
ACM Transactions on Asian Language Information Processing (TALIP)
A recognition system for online handwritten tibetan characters
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
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This paper describes an online handwritten Japanese character string recognition system based on conditional random fields, which integrates the information of character recognition, linguistic context and geometric context in a principled framework, and can effectively overcome the variable length of candidate segmentation. For geometric context, we employ both unary and binary feature functions, as well as the ones relevant and irrelevant to character classes. Experimental results show that the CRF based method outperforms the method with normalized path evaluation criterion, and the geometric context benefits the performance significantly.