• DocumentCode
    1151857
  • Title

    Mapping vector accumulator: fractal domain feature for character recognition

  • Author

    Linnell, T.A. ; Deravi, F.

  • Author_Institution
    Dept. of Electron., Univ. of Kent, Canterbury, UK
  • Volume
    40
  • Issue
    22
  • fYear
    2004
  • Firstpage
    1406
  • Lastpage
    1407
  • Abstract
    A new feature is presented which is calculated directly from the fractal-compressed form of images. The performance of this feature is analysed by using it in the training of standard classifiers for a character recognition problem. The feature is shown to be translation invariant, giving it an advantage over methods that use pixels or compressed data directly.
  • Keywords
    character recognition; data compression; feature extraction; fractals; image classification; image coding; character recognition; feature extraction; fractal domain feature; fractal image compression; mapping vector accumulator; translation invariance;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20046478
  • Filename
    1352853
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1151857