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: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Malaysia Perlis (UniMAP)
2010
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| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/10133 |
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| Summary: | 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. |
|---|