Word spotting application in historical mongolian document images
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
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According to characteristics of Mongolian word-formation, a method for removing inflectional suffixes from word images of the Mongolian Kanjur is proposed in this paper. By removing inflectional suffixes, the amount of clusters equivalent indexing terms might be reduced in word spotting. For the above purpose, we need to determine whether or not one word image contains inflectional suffix. If the word image contains inflectional suffix, the inflectional suffix would be segmented from the word image. The proposed method is as follows: first, many parts are segmented from the bottom of the word image according to the cutting positions of the inflectional suffixes. Then, the segmented parts are represented by a number of profile features and classified by multi-BP neural networks. Finally, the outputs of BP are confirmed by template matching using DTW. Experimental results on our data set prove the feasibility of the proposed method.