Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/14100
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dc.titleA word image coding technique and its applications in information retrieval from imaged documents
dc.contributor.authorZHANG LI
dc.date.accessioned2010-04-08T10:39:51Z
dc.date.available2010-04-08T10:39:51Z
dc.date.issued2004-09-22
dc.identifier.citationZHANG LI (2004-09-22). A word image coding technique and its applications in information retrieval from imaged documents. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/14100
dc.description.abstractWith an increasing amount of documents being scanned and archived in the form of digital images, Document Image Retrieval, as part of information retrieval paradigm, has been attracting a continuous attention among the Information Retrieval (IR) communities. This thesis presents a word image coding technique that extracts features from each word object and represents them using a feature code string. On top of this, two retrieval applications are implemented. One is an experimental web-based retrieval system that efficiently retrieves document images online from digital libraries given a set of query words. The other is a search engine for imaged documents in PDF files. In particular, a plug-in is implemented in Acrobat Reader and performs all the preprocessing and matching procedures online when the user inputs a query word. The matching word objects will be identified and marked in the PDF files.
dc.language.isoen
dc.subjectdocument image retrieval, feature code, search engine
dc.typeThesis
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.supervisorTAN CHEW LIM
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF SCIENCE
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Master's Theses (Open)

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