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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/10133

Title: Extraction of visual information from simplified raster images
Authors: R. Badlishah, Ahmad
Syed Alwee Aljunid, Syed Junid
Nebras, N. Hasson
Keywords: Explore -- Penerbitan universiti;UniMAP -- Publications;UniMAP -- Research and development;Raster images;Visual information
Issue Date: Aug-2007
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi)
Citation: p.4-5
Series/Report no.: Explore
August 2007
Abstract: Simplification of raster images, with irrelevant details of a visual query, eliminates most useless elements, while retaining perceptually dominant elements and shape, speeds up queries. The simplification is widely used for document analysis and recognition as a preprocessing step for high-level object recognition, such as optical character recognition (OCR) andgraphic objects recognition.
URI: http://hdl.handle.net/123456789/10133
ISSN: 1823-9633
Appears in Collections:Publications
R. Badlishah Ahmad, Prof. Dr.

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