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Document Image Retrieval without OCRing Using a Video Scanning System

Ercan kuruoglu, Vern Tan
We propose a technique for efficient document retrieval from digital libraries containing document images which are token based compressed. The technique we proposed uses the layout information supplied by the relative positions of the character tokens on the page of a "query" paper document to retrieve the original document in the image database. The query image is captured from a paper document by a multimedia system composed of a PC and a video scanning tool. This technique avoids OCRing the query document and the documents in the database; moreover avoids decompressing the token based compressed documents in the database, therefore achieving important time and computational gains. The technique provides one with the capability of retrieving the original document stored in a digital library using part of a previously produced paper copy.
E.Kuruoglu & V.Tan, Document Image Retrieval without OCRing Using a Video Scanning System, Proc ACM International Workshop on Multimedia Information Retrieval 2000 30th October - 4th November 2000, Los Angeles California. ACM New York.