Interpretation of Ambiguous Zone in Handwritten Chinese Character Images Using Bayesian Network
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Writer Identification of Chinese Handwriting Using Grid Microstructure Feature
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Gabor-based recognizer for Chinese handwriting from segmentation-free strategy
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
HIT-OR3C: an opening recognition corpus for Chinese characters
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
The CADAL calligraphic database
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Unsupervised language model adaptation for handwritten Chinese text recognition
Pattern Recognition
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A Chinese handwriting database named HIT-MW is presented to facilitate the offline Chinese handwritten text recognition. Both the writers and the texts for handcopying are carefully sampled with a systematic scheme. To collect naturally written handwriting, forms are distributed by postal mail or middleman instead of face to face. The current version of HIT-MW includes 853 forms and 186,444 characters that are produced under an unconstrained condition without preprinted character boxes. The statistics show that the database has an excellent representation of the real handwriting. Many new applications concerning real handwriting recognition can be supported by the database.