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A search engine for imaged documents in PDF files
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Sheffield, United Kingdom
POSTER SESSION: Posters table of contents
Pages: 536 - 537  
Year of Publication: 2004
ISBN:1-58113-881-4
Authors
Yue Lu  National University of Singapore, Kent Ridge, Singapore
Li Zhang  National University of Singapore, Kent Ridge, Singapore
Chew Lim Tan  National University of Singapore, Kent Ridge, Singapore
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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ABSTRACT

Large quantities of documents in the Internet and digital libraries are simply scanned and archived in image format, many of which are packed in PDF files. The word search tool provided by Adobe Reader/Acrobat does not work for these imaged documents. In this paper, we present a search engine to deal with this issue for imaged documents in PDF files. The experimental results show an encouraging performance.



Collaborative Colleagues:
Yue Lu: colleagues
Li Zhang: colleagues
Chew Lim Tan: colleagues

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