Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/14100
Title: A word image coding technique and its applications in information retrieval from imaged documents
Authors: ZHANG LI
Keywords: document image retrieval, feature code, search engine
Issue Date: 22-Sep-2004
Source: ZHANG LI (2004-09-22). A word image coding technique and its applications in information retrieval from imaged documents. ScholarBank@NUS Repository.
Abstract: With 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.
URI: http://scholarbank.nus.edu.sg/handle/10635/14100
Appears in Collections:Master's Theses (Open)

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