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Graph Based Filtering and Matching for Symbol Recognition

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DOI: 10.4236/jsip.2018.93010    401 Downloads   722 Views


Pattern recognition is a task of searching particular patterns or features in the given input. The data mining, computer networks, genetic engineering, chemical structure analysis, web services etc. are few rapidly growing applications where pattern recognition has been used. Graphs are very powerful model applied in various areas of computer science and engineering. This paper proposes a graph based algorithm for performing the graphical symbol recognition. In the proposed approach, a graph based filtering prior to the matching is performed which significantly reduces the computational complexity. The proposed algorithm is evaluated using a large number of input drawings and the simulation results show that the proposed algorithm outperforms the existing algorithms.

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Pawar, V. and Zaveri, M. (2018) Graph Based Filtering and Matching for Symbol Recognition. Journal of Signal and Information Processing, 9, 167-191. doi: 10.4236/jsip.2018.93010.

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