• DocumentCode
    177529
  • Title

    Selective Concealment of Characters for Privacy Protection

  • Author

    Inai, K. ; Palsson, M. ; Frinken, V. ; Yaokai Feng ; Uchida, S.

  • Author_Institution
    Kyushu Univ., Fukuoka, Japan
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    333
  • Lastpage
    338
  • Abstract
    A method of concealing characters is proposed for degrading legibility of privacy sensitive textual information in natural scene, such as car license plate numbers and name tags. An important property of the proposed method is that it realizes selective concealing of characters, that is, the proposed method degrades legibility of character regions without degrading the quality of non-character regions. This selective concealment is realized because characters have special concealment characteristics. Specifically, character legibility can be degraded by damaging stroke structure by using exemplar-based image in painting, which does not affect non-character regions. Experimental results of qualitative and quantitative evaluations have proven that the selective concealment is practically possible. Furthermore, the quantitative evaluation through a subjective experiment revealed appropriate setups of image in painting for maximizing selective concealment performance.
  • Keywords
    character recognition; data protection; image recognition; car license plate numbers; character legibility; character regions; exemplar-based image; name tags; natural scene; noncharacter region quality; privacy protection; privacy sensitive textual information; qualitative evaluations; quantitative evaluations; selective character concealment; stroke structure; Feature extraction; Image edge detection; Interpolation; Licenses; Object detection; Privacy; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.66
  • Filename
    6976777