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Books > Computing & IT > General theory of computing
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Logo Recognition - Theory and Practice (Paperback)
Loot Price: R2,314
Discovery Miles 23 140
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Logo Recognition - Theory and Practice (Paperback)
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Used by companies, organizations, and even individuals to promote
recognition of their brand, logos can also act as a valuable means
of identifying the source of a document. E-business applications
can retrieve and catalog products according to their logos.
Governmental agencies can easily inspect goods using smart mobile
devices that use logo recognition techniques. However, because
logos are two-dimensional shapes of varying complexity, the
recognition process can be challenging. Although promising results
have been found for clean logos, they have not been as robust for
noisy logos. Logo Recognition: Theory and Practice is the first
book to focus on logo recognition, especially under noisy
conditions. Beginning with an introduction to fundamental concepts
and methods in pattern and shape recognition, it surveys advances
in logo recognition. The authors also propose a new logo
recognition system that can be used under adverse conditions such
as broken lines, added noise, and occlusion. The proposed system
introduces a novel polygonal approximation, a robust indexing
scheme, and a new line segment Hausdorff distance (LHD) matching
method that can handle more distortion and transformation types
than previous techniques. In the first stage, raw logos are
transformed into normalized line segment maps. In the second stage,
effective line pattern features are used to index the database to
generate a moderate number of likely models. In the third stage, an
improved LHD measure screens and generates the best matches. A
comprehensive overview of logo recognition, the book also presents
successful applications of the technology and suggests directions
for future research.
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