dc.contributor.authorChen, Yanen_US
dc.date.accessioned2008-09-17T09:05:06Z
dc.date.accessioned2017-07-23T08:28:28Z
dc.date.available2008-09-17T09:05:06Z
dc.date.available2017-07-23T08:28:28Z
dc.date.copyright2007en_US
dc.date.issued2007
dc.identifier.citationChen, Y. (2007). Algorithms for extracting text from degraded document images. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/2545
dc.description.abstractThe main objective of this research is to automatically separate text from the background in degraded scanned document images and locate individual words in the text. In this thesis, techniques are presented to extract the handwritten text from the noisy or degraded background.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
dc.titleAlgorithms for extracting text from degraded document imagesen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.contributor.supervisorLeedham Charles Grahamen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en_US


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