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Vehicle Logo Recognition Using a SIFT-Based Enhanced Matching Scheme

Open access
Psyllos, Apostolos P, Anagnostopoulos, Christos-Nikolaos E, Kayafas, Eleftherios·2010·IEEE Transactions on Intelligent Transportation Systems

Abstract

In this paper, a new algorithm for vehicle logo recognition on the basis of an enhanced scale-invariant feature transform (SIFT)-based feature-matching scheme is proposed. This algorithm is assessed on a set of 1200 logo images that belong to ten distinctive vehicle manufacturers. A series of experiments are conducted, splitting the 1200 images to a training set and a testing set, respectively. It is shown that the enhanced matching approach proposed in this paper boosts the recognition accuracy compared with the standard SIFT-based feature-matching method. The reported results indicate a high recognition rate in vehicle logos and a fast processing time, making it suitable for real-time applications.

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Metadata

Authors
Psyllos, A. P., Anagnostopoulos, C.-N. E., & Kayafas, E.
Venue
IEEE Transactions on Intelligent Transportation Systems
Published
2010-06
Volume
11
Issue
2
Pages
322-328
ISSN
  • 1524-9050 (ISSN-L)
  • 1558-0016
OpenAlex
W2139323304
Cited by
208
References
4
FWCI
11.43
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Vehicle Logo Recognition Using a SIFT-Based Enhanced Matching Scheme. https://app.cochat.ai/papers/10.1109/tits.2010.2042714
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Psyllos, A. P., Anagnostopoulos, C.-N. E., & Kayafas, E. (2010). Vehicle Logo Recognition Using a SIFT-Based Enhanced Matching Scheme. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2010.2042714

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