Vehicle Logo Recognition Using a SIFT-Based Enhanced Matching Scheme

Author

Psyllos, Apostolos P. ; Anagnostopoulos, Christos-Nikolaos E. ; Kayafas, Eleftherios

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece

Volume

11

Issue

2

fYear

2010

fDate

6/1/2010 12:00:00 AM

Firstpage

322

Lastpage

328

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.

Keywords

feature extraction; image matching; image recognition; real-time systems; traffic engineering computing; SIFT based enhanced matching scheme; real-time applications; scale invariant feature transform; vehicle logo recognition; Image matching; manufacturer recognition; vehicles;

fLanguage

English

Journal_Title

Intelligent Transportation Systems, IEEE Transactions on

Publisher

ieee

ISSN

1524-9050

Type

jour

DOI

10.1109/TITS.2010.2042714

Filename

5419948