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A keyword retrieval system for historical Mongolian document images

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Abstract

In this paper, we propose a keyword retrieval system for locating words in historical Mongolian document images. Based on the word spotting technology, a collection of historical Mongolian document images is converted into a collection of word images by word segmentation, and a number of profile-based features are extracted to represent word images. For each word image, a fixed-length feature vector is formulated by obtaining the appropriate number of the complex coefficients of discrete Fourier transform on each profile feature. The system supports online image-to-image matching by calculating similarities between a query word image and each word image in the collection, and consequently, a ranked result is returned in descending order of the similarities. Therein, the query word image can be generated by synthesizing a sequence of glyphs when being retrieved. By experimental evaluations, the performance of the system is confirmed.

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Acknowledgments

The research is supported by the National Natural Science Foundation of China and the grant number is 60865003. And we also thank for the support of the Natural Science Foundation of Inner Mongolia Autonomous Region and the grant numbers are 2012MS0921 and 2011ZD11.

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Authors and Affiliations

  1. School of Computer Science, Inner Mongolia University, Hohhot, 010021, China

    Hongxi Wei & Guanglai Gao

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  1. Hongxi Wei
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  2. Guanglai Gao
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Correspondence to Hongxi Wei.

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Wei, H., Gao, G. A keyword retrieval system for historical Mongolian document images. IJDAR 17, 33–45 (2014). https://doi.org/10.1007/s10032-013-0203-6

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