License Plate Character Segmentation Usint Hidden Markov Chains

Vojtěch Franc, Václav Hlaváč
DAGM 2005, Berlin, Germany
DAGM 2005: Proceedings of the 27th DAGM Symposium
Volume 1, Number 3663, Pages 385-392
8--9, 2005

Abstract

We propose a method for segmentation of a line of character in a noisy lov resolution image of a ca license plate. The Hidden Markov Chains are used to model a stochastic relation between an input image and a corresponding character segmentation. The segmentation problem is sxpressed as the maximum a posterionri estimation from set of admissible segmentations.

Keywords

segmentation, hidden markov chains, icense plate, recognition

Bibtex entry

@InProceedings {Franc-Hlavac-DAGM05-B,
  author =      { Vojt{\ve}ch Franc and V{\'a}clav Hlav{\'a}{\vc} },
  title =       { License Plate Character Segmentation Usint Hidden Markov Chains },
  pages =       { 385--392 },
  year =        { 2005 },
  booktitle =   { DAGM 2005: Proceedings of the 27th DAGM Symposium },
  editor =      { Kropatch, Walter G. and Sablatnig, Robert and Handbury, Allan },
  publisher =   { Springer-Verlag },
  address =     { Berlin, Germany },
  isbn =        { 3-540-28703-5 },
  volume =      { 1 },
  series =      { LNCS },
  number =      { 3663 },
  month =       { 8--9 },
  day =         { 31--2 },
  venue =       { Viena, Austria },
  annote = { We propose a method for segmentation of a line of
    character in a noisy lov resolution image of a ca license
    plate. The Hidden Markov Chains are used to model a stochastic
    relation between an input image and a corresponding character
    segmentation. The segmentation problem is sxpressed as the maximum
    a posterionri estimation from set of admissible segmentations. },
  keywords =    { segmentation, hidden markov chains, icense plate, recognition },
}