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Enhancing the Ensemble-Based Scene Character Recognition by Using Classification Likelihood

  • Fuma HorieEmail author
  • Hideaki Goto
  • Takuo Suganuma
Conference paper
  • 91 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12047)

Abstract

Research on scene character recognition has been popular for its potential in many applications including automatic translator, signboard recognition, and reading assistant for the visually-impaired. The scene character recognition is challenging and difficult owing to various environmental factors at image capturing and complex design of characters. Current OCR systems have not gained practical accuracy for arbitrary scene characters, although some effective methods were proposed in the past. In order to enhance existing recognition systems, we propose a hierarchical recognition method utilizing the classification likelihood and image pre-processing methods. It is shown that the accuracy of our latest ensemble system has been improved from 80.7% to 82.3% by adopting the proposed methods.

Keywords

Hierarchical recognition method Ensemble voting classifier Synthetic Scene Character Data 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Graduate School of Information SciencesTohoku UniversitySendaiJapan
  2. 2.Cyberscience CenterTohoku UniversitySendaiJapan

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