Document image decoding in the Berkeley Digital Library

The UC Berkeley Environmental Digital Library Project is one of six university led projects that were initiated in the fall of 1994 as part of a four year digital library initiative sponsored by the NSF, NASA and ARPA. The Berkeley project is particularly interesting from an image processing perspec...

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Bibliographic Details
Published inProceedings of 3rd IEEE International Conference on Image Processing Vol. 2; pp. 769 - 772 vol.2
Main Author Kopec, G.E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Decoding
Error analysis
Hyperspectral imaging
Image processing
Image retrieval
Indexes
NASA
Optical character recognition software
Software libraries
Testing
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Summary:The UC Berkeley Environmental Digital Library Project is one of six university led projects that were initiated in the fall of 1994 as part of a four year digital library initiative sponsored by the NSF, NASA and ARPA. The Berkeley project is particularly interesting from an image processing perspective because its testbed collection consists almost entirely of scanned materials. As a result, the Berkeley project is making extensive use of document recognition and other image analysis technology to provide content based access to the collection. The Document Image Decoding (DID) group at Xerox PARC is a member of the Berkeley team and is investigating the application of DID techniques to providing high quality (accurate and properly structured) transcriptions of scanned documents. The paper briefly describes the Berkeley project, discusses some of its recognition requirements and presents an example of an advanced structured document created using DID technology.
ISBN:9780780332591
0780332598
DOI:10.1109/ICIP.1996.561014