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The First Robust Mongolian Text Reading Dataset CSIMU-MTR

  • Yunxue ShaoEmail author
  • Guanglai Gao
  • Linbo Zhang
  • Zhong Zhang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 322)

Abstract

Text extraction from various text containers like document, born digital images, real scenes and videos has been a continuous interest in this field for more than a decade. Although a lot of work has been done on printed Mongolian document image analysis, there has little work on Mongolian text extraction from complex images. For the design and evaluation of Mongolian text extraction algorithms and systems, the availability of large-scale dataset is important. This paper first introduces a dataset named CSIMU-MTR which is built by the College of Computer Science of Inner Mongolia University. And then presents benchmark results using two state-of-the-art methods in text detection on this new dataset. The reported results serve as a baseline for evaluating the further works.

Keywords

Mongolian text extraction dataset Scene text detection Maximally stable extremal regions 

Notes

Acknowledgements

This work was supported by program of higher-level talents of Inner Mongolia University.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Yunxue Shao
    • 1
    Email author
  • Guanglai Gao
    • 1
  • Linbo Zhang
    • 2
  • Zhong Zhang
    • 3
  1. 1.College of Computer ScienceInner Mongolia UniversityInner MongoliaPR China
  2. 2.China Academy of Transportation Sciences (CATS)BeijingChina
  3. 3.College of Electronic and Communication EngineeringTianjin Normal UniversityTianjinChina

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