@inproceedings{Rodner08:DBF,
    type = {inproceedings},
    key = {Rodner08:DBF},
    title = {Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation},
    author = {Erik Rodner and Herbert Süße and Wolfgang Ortmann and Joachim Denzler},
    booktitle = {IAPR Workshop on Document Analysis Systems},
    year = {2008},
    address = {Nara, Japan},
    month = {9},
    pages = {263-269},
    publisher = {IEEE},
    abstract = {A robust segmentation is the most important part of an automatic character recognition system (e.g. document pro- cessing, license plate recognition etc.). In our contribution we present an efficient segmentation framework using a pre- processing step for shadow suppression combined with a local thresholding technique. The method is based on a combination of difference of boxes filters and a new ternary segmentation, which are both simple low-level image oper- ations. We also draw parallels to a recently published work on a ganglion cell model and show that our approach is theoret- ically more substantiated as well as more robust and more efficient in practice. Systematic evaluation of noisy input data as well as results on a large dataset of license plate images 1 show the robustness and efficiency of our proposed method. Our results can be applied easily to any optical char- acter recognition system resulting in an impressive gain of robustness against nonlinear illumination.},
    groups = {segmentation,industrialproject},
    website = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?isnumber=4669930&arnumber=4669969&count=93&index=38},
}