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Cover for EFFECTIVE AND EFFICIENT BINARIZATION OF DEGRADED DOCUMENT IMAGES
dc.contributor.advisorFrieder, Ophiren
dc.creatoren
dc.date.accessioned2016-05-26T20:12:01Zen
dc.date.available2016-05-26T20:12:01Zen
dc.date.created2016en
dc.date.issueden
dc.date.submitted01/01/2016en
dc.identifier.otherAPT-BAG: georgetown.edu.10822_1040695.tar;APT-ETAG: d346dc81bfca1f3b2329610112589befen
dc.identifier.urien
dc.descriptionPh.D.en
dc.description.abstractExtracting information from images of documents is easier when the image is crisp, clear and devoid of noise. Consequently, an algorithm that reliably removes noise from imperfect document images and generates better images could clean input to other image processing algorithms thereby improving their outputs and/or enabling simpler techniques. The importance of this task is evident given the rate at which scanners, copier, and smart phones are producing document images.en
dc.description.abstractThis dissertation makes three contributions to this problem area. The first contribution is an unsupervised method for converting a document image to a strictly white and black image (i.e., cleaning a document image). This initial contribution is the result of examining the hypothesis that acceptable binarization parameters can be found with an automatic parameter search and was patented in US Patent #8,995,782 "System and Method for Enhancing the Legibility of Degraded Image". The second contribution is an improvement on the prior method that eliminates the need for a computationally expensive parameter search. A patent for this contribution has been allowed, but not yet issued, under patent application number 13/949,799 "System and Method for Enhancing the Legibility of Images". The last contribution of this dissertation is a method that manipulates multiple images of the same document that were each captured with a different mono-chromatic frequency of light to improve image binarization.en
dc.formatPDFen
dc.format.extent85 leavesen
dc.languageenen
dc.publisherGeorgetown Universityen
dc.sourceGeorgetown University-Graduate School of Arts & Sciencesen
dc.sourceComputer Scienceen
dc.subjectDegraded Documenten
dc.subjectDocument Imagesen
dc.subjectImage Binarizationen
dc.subjectImage Enhancementen
dc.subject.lcshComputer scienceen
dc.subject.otherComputer scienceen
dc.titleEFFECTIVE AND EFFICIENT BINARIZATION OF DEGRADED DOCUMENT IMAGESen
dc.typethesisen


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