2000
Conference article  Unknown

Document image retrieval without OCRing using a video scanning system

Kuruoglu E. E., Tan V.

Image similarity retrieval  Document image databases  Video scanning  Multimedia systems  Image processing and computer vision 

In this paper, we propose a technique for efficient document retrieval from digital libraries containing document images which are token based compressed. The query image is captured from a paper document by the video scanning tool of a multimedia system. The technique we propose 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. 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.

Source: ACM Multimedia 2000 Workshops, pp. 233–236, Los Angeles, USA, 4 November 2000



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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:406656,
	title = {Document image retrieval without OCRing using a video scanning system},
	author = {Kuruoglu E.  E. and Tan V.},
	booktitle = {ACM Multimedia 2000 Workshops, pp. 233–236, Los Angeles, USA, 4 November 2000},
	year = {2000}
}