@inproceedings{lekang-12,
    author = { {L}e {K}ang and {D}avid {D}oermann and {H}uiagu {C}ao and {R}ohit {P}rasad and {P}rem {N}atarajan },
    abstract = { {W}e propose a contour based shape decomposition approach that provides local segmentation of touching characters. {T}he shape contour is linearized into edgelets and edgelets are merged into boundary fragments. {C}onnection cost between boundary fragments is obtained by considering local smoothness, connection length and a stroke-level property {S}imilar {S}troke {R}ate. {S}amples of connections among boundary fragments are randomly generated and the one with the minimum global cost is selected to produce optimal segmentation of the shape. {T}o obtain a binary segmentation using this approach, we make an iterative search for the parameters that yields two components on a shape. {E}xperimental results on a number of synthetic shape images and the {LTP} dataset showed that this contour based shape decomposition technique is promising and it is effective on providing local segmentation of touching characters. },
    booktitle = { {D}ocument {A}nalysis {S}ystems },
    pages = { 460-464 },
    pdffile = { http://lampsrv02.umiacs.umd.edu/pubs/Papers/lekang-12/lekang-12.pdf },
    title = { {L}ocal {S}egmentation of {T}ouching {C}haracters using {C}ontour based {S}hape {D}ecomposition },
    year = { 2012 }
}