Vehicle Logo Recognition Using a SIFT-Based Enhanced Matching Scheme

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.

• Type: Journal
• Year: 2010
• Where: TITS
• Authors: Apostolos P. Psyllos, Christos-Nikolaos Anagnostopoulos, Eleftherios Kayafas
• Keywords: Education, Enhanced Scale-invariant Feature, TITS 2010, Vehicle Logo Recognition, Vehicle Logos