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A Morphological Approach to Text String Extraction from Regular Periodic Overlapping Text/Background Images
dc.contributor.authorLiang, Suen_US
dc.contributor.authorAhmadi, M.en_US
dc.contributor.authorShridhar, M.en_US
dc.date.accessioned2006-05-10T15:38:14Z
dc.date.available2006-05-10T15:38:14Z
dc.date.issued1994-09en_US
dc.identifier.citationSu L., , Ahmadi M., , Shridhar M., (1994/09)."A Morphological Approach to Text String Extraction from Regular Periodic Overlapping Text/Background Images." CVGIP: Graphical Models and Image Processing 56(5): 402-413. <http://hdl.handle.net/2027.42/31369>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6WDC-45P0V7T-D/2/982e8e62b4b7cf92b8194ed2c08573eden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/31369
dc.description.abstractA digitized image that consists of text strings and uniformly distributed background symbols must be segmented if the characters in the text string are to be recognized. This paper describes the development and implementation of a morphological approach to character string extraction from overlapping text/background images that minimizes the shape distortion of characters. The effectiveness of this algorithm is demonstrated on several test images.en_US
dc.format.extent12 bytes
dc.format.extent3118 bytes
dc.format.extent955075 bytes
dc.format.mimetypetext/plain
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.titleA Morphological Approach to Text String Extraction from Regular Periodic Overlapping Text/Background Imagesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniv Windsor, Dept Elect Engn, Windsor N9B 3P4, Ontario, Canada and University of Michigan, Dept Elect & Comp Engn, Dearborn, MI 48128, USAen_US
dc.contributor.affiliationumUniv Windsor, Dept Elect Engn, Windsor N9B 3P4, Ontario, Canada and University of Michigan, Dept Elect & Comp Engn, Dearborn, MI 48128, USAen_US
dc.contributor.affiliationumUniv Windsor, Dept Elect Engn, Windsor N9B 3P4, Ontario, Canada and University of Michigan, Dept Elect & Comp Engn, Dearborn, MI 48128, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/31369/3/0000281.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1006/cgip.1994.1036en_US
dc.identifier.sourceCVGIP: Graphical Models and Image Processingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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