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ICDAR
2009
IEEE

Utilizing Consistency Context for Handwritten Mathematical Expression Recognition

13 years 10 months ago
Utilizing Consistency Context for Handwritten Mathematical Expression Recognition
This paper presents a rule-based approach that utilizes some types of contextual information to improve the accuracy of handwritten mathematical expression(ME) recognition. Mining context from corpus is not practical for ME recognition due to the complexity originated from 2-D nature of MEs. For practicality, we identify typical types of consistencies that are often found in customary usage and general patterns in MEs. We aim to increase these consistencies in recognition results by correcting symbol labels and/or spatial relationships among symbols. Such consistencies are easily encoded as condition-action pairs. Preliminary interpretations generated by the base recognizer are reordered by increasing or decreasing scores by the rules. Although our approach is not complete, it easily implements even global context among distant symbols. Experimental results show that our approach is useful to increase the accuracy of handwritten ME recognition.
Kang Kim, Taik-Heon Rhee, Jae Seung Lee, Jin Hyung
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICDAR
Authors Kang Kim, Taik-Heon Rhee, Jae Seung Lee, Jin Hyung Kim
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