Extraction of visual information from simplified raster images

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-l...

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Main Authors: R. Badlishah, Ahmad, Syed Alwee Aljunid, Syed Junid, Nebras, N. Hasson
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2010
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10133
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spelling my.unimap-101332014-09-02T08:12:50Z Extraction of visual information from simplified raster images R. Badlishah, Ahmad Syed Alwee Aljunid, Syed Junid Nebras, N. Hasson Explore -- Penerbitan universiti UniMAP -- Publications UniMAP -- Research and development Raster images Visual information 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. 2010-11-01T01:26:21Z 2010-11-01T01:26:21Z 2007-08 Article p.4-5 1823-9633 http://hdl.handle.net/123456789/10133 en Explore August 2007 Universiti Malaysia Perlis (UniMAP) Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Explore -- Penerbitan universiti
UniMAP -- Publications
UniMAP -- Research and development
Raster images
Visual information
spellingShingle Explore -- Penerbitan universiti
UniMAP -- Publications
UniMAP -- Research and development
Raster images
Visual information
R. Badlishah, Ahmad
Syed Alwee Aljunid, Syed Junid
Nebras, N. Hasson
Extraction of visual information from simplified raster images
description 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.
format Article
author R. Badlishah, Ahmad
Syed Alwee Aljunid, Syed Junid
Nebras, N. Hasson
author_facet R. Badlishah, Ahmad
Syed Alwee Aljunid, Syed Junid
Nebras, N. Hasson
author_sort R. Badlishah, Ahmad
title Extraction of visual information from simplified raster images
title_short Extraction of visual information from simplified raster images
title_full Extraction of visual information from simplified raster images
title_fullStr Extraction of visual information from simplified raster images
title_full_unstemmed Extraction of visual information from simplified raster images
title_sort extraction of visual information from simplified raster images
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10133
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score 13.211869