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dc.contributor.author Rahnemoonfar, Maryam en
dc.date.accessioned 2013-05-29T14:15:23Z en
dc.date.available 2013-05-29T14:15:23Z en
dc.date.issued 2013-01-30 en
dc.identifier.uri http://hdl.handle.net/2022/16592 en
dc.description Presentation materials are not available for this presentation. en
dc.description.abstract A particular challenge in the text recognition of historical document images is the considerable amount of "image noise" that can arise during the whole life cycle of a document from printing and storage to the usage and scanning of the document. Historical documents suffer from several different kinds of noise such as geometric distortions, bleed-through, textured papers, stamp, stain, and so forth. Noise will affect and complicate the different stages of document image analysis including enhancement, segmentation, layout analysis and recognition. This talk will cover the description of different stages of document image analysis and challenges and opportunities in image processing and analysis of historical documents. I will particularly explain about the software that I developed in the IMPACT project for correction of arbitrary geometric artefacts in historical documents. Such distortions appear as arbitrary warping, fold, and page curl and have detrimental effects on OCR and print-on-demand quality. en
dc.language.iso en_US en
dc.publisher Indiana University Libraries en
dc.relation.isversionof Click on the link below in the "External Files" section to play this video. en
dc.relation.uri https://purl.dlib.indiana.edu/iudl/media/f95j334742 en
dc.subject.lcsh Image processing en
dc.title Challenges and Opportunities in Image Processing and Analysis of Historical Documents en
dc.type Presentation en


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