@conference{Papavassiliou, Katsouros & Carayiannis 2010,
author = "Παπαβασιλείου, Βασίλης and Κατσούρος, Βασίλης and Καραγιάννης, Γεώργιος",
abstract = "Document image segmentation to text lines is a critical stage towards unconstrained handwritten document recognition. Although morphological operations proved to be effective in processing machine-printed documents for several issues, similar methods for unconstraint-handwritten documents lack accuracy.  We propose an efficient method based on binary morphology for text-line segmentation in such documents. The basic steps of our approach are: a) subsampling and binary rank order filtering to enhance the text-line structures and b) applying dilations and (p,q)-th generalized foreground rank openings successively to join close and horizontally overlapping regions while preventing a merge in the vertical direction. The method tested on the benchmarking dataset of the ICDAR07 handwriting segmentation contest and show remarkable results
",
address = "Kolkata, India",
booktitle = "Proceedings of the 12th International Conference on Frontiers in Handwriting Recognition 2010 ",
doi = "10.1016/j.patcog.2009.05.007",
month = "16-18 November 2010",
organization = "IAPR",
publisher = "IEEE computer society CPS",
title = "{A} {M}orphological {A}pproach for {T}ext-Line {S}egmentation in {H}andwritten {D}ocuments ",
volume = "1",
year = "2010",
}