Abstract
Recognizing mathematical expression is important to reduce time in converting image-based documents like PDF to text-based documents that are easy to use and edit. In case of general character recognition, the sequence of character segmentation is from left to right, and from top to bottom. However, mathematical expression is a kind of two-dimension visual language. Thus, segmentation is more complex than one-dimension language. This paper proposes a modified recursive projection profile cutting method of character segmentation in images of mathematical formula, using depth first search for arranging and double linked list for re-arranging. The proposed method is demonstrated through various kinds of experiments, and shows this method can yield results of high accuracy for the recognition of mathematical formula.
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© 2013 Springer-Verlag Berlin Heidelberg
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Yoo, YH., Kim, JH. (2013). Mathematical Formula Recognition Based on Modified Recursive Projection Profile Cutting and Labeling with Double Linked List. In: Kim, JH., Matson, E., Myung, H., Xu, P. (eds) Robot Intelligence Technology and Applications 2012. Advances in Intelligent Systems and Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37374-9_95
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DOI: https://doi.org/10.1007/978-3-642-37374-9_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37373-2
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