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Logo Recognition by Dan Chen, Lizhe Wang, Jingying Chen

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K12122
Logo
Recognition
Theory and Practice
Chen
Wang
Chen
Logo Recognition
IMAGE PROCESSING
A Review of Ideas, Methods, and Advances in Logo Recognition
A New Recognition System for Noisy Logos
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 in
order 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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