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Comic Text Detection Using Neural Network Approach

  • Frédéric Rayar
  • Seiichi Uchida
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11296)

Abstract

Text is a crucial element in comic books; hence text detection is a significant challenge in an endeavour to achieve comic processing. In this work, we study in what extent an off-the-shelf neural network approach for scene text detection can be used to perform comic text detection. Experiment on a public data set shows that such an approach allows to perform as well as methods of the literature, which is promising for building more accurate comic text detector in the future.

Keywords

Comic understanding Text detection Neural networks 

Notes

Acknowledgements

The authors would like to thank the curators of the eBDtheque data set, along with the authors of the data set’s comics, for allowing us to use their works. This research was partially supported by MEXT-Japan (Grant No. 17H06100).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Kyushu UniversityFukuokaJapan

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