Low-resolution character recognition with Compound Mutual Subspace Method

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In character recognition system using images captured by a mobile phone camera, it is difficult to correctly recognize blurred characters. Therefore, we aim at high accuracy character recognition by obtaining information from multiple frames of video. In this paper, we propose a character recognition method based on the Compound Mutual Subspace Method which absorbs the blur of low-resolution character and which is also superior to the identification of similar characters by generating an input subspace from multiple input images. In addition, we save the effort of collecting training data by estimating the degradation function from degraded images and make dictionary subspaces that reflects the characteristics of the camera.

Original languageEnglish
Title of host publicationICSP 2012 - 2012 11th International Conference on Signal Processing, Proceedings
Pages654-658
Number of pages5
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 11th International Conference on Signal Processing, ICSP 2012 - Beijing, China
Duration: 2012 Oct 212012 Oct 25

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume1

Other

Other2012 11th International Conference on Signal Processing, ICSP 2012
CountryChina
CityBeijing
Period12/10/2112/10/25

Keywords

  • Character recognition
  • Compound mutual subspace method
  • Learning method
  • Subspace method

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Science Applications

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  • Cite this

    Kudo, H., Sugaya, Y., & Omachi, S. (2012). Low-resolution character recognition with Compound Mutual Subspace Method. In ICSP 2012 - 2012 11th International Conference on Signal Processing, Proceedings (pp. 654-658). [6491572] (International Conference on Signal Processing Proceedings, ICSP; Vol. 1). https://doi.org/10.1109/ICoSP.2012.6491572