Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICFHR.2010.121
Title: A medical knowledge based postprocessing approach for doctor's handwriting recognition
Authors: Chen, Q.
Gong, T.
Li, L. 
Tan, C.L. 
Pang, B.C.
Issue Date: 2010
Source: Chen, Q.,Gong, T.,Li, L.,Tan, C.L.,Pang, B.C. (2010). A medical knowledge based postprocessing approach for doctor's handwriting recognition. Proceedings - 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010 : 45-50. ScholarBank@NUS Repository. https://doi.org/10.1109/ICFHR.2010.121
Abstract: In this paper, we propose a novel postprocessing approach for on-line handwriting recognition. Differing from the existing linguistic knowledge-based methods, we make use of domain specific knowledge to improve the performance of recognition. Our system recognizes doctor's handwriting which often poses great challenges in readability, and then enhances the quality of recognized text by analyzing and restoring the text with a medical knowledge model. We show experiments with this approach on a set of medical handwriting data provided by the doctor, and the results are promising. © 2010 IEEE.
Source Title: Proceedings - 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/41720
ISBN: 9780769542218
DOI: 10.1109/ICFHR.2010.121
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