This paper presents an approach for automatic recognition of vehicle make from its logo in a
front-view image using SIFT descriptor of interior structure and back-propagation neural …

In this paper, a new algorithm for Vehicle Logo Recognition is proposed, on the basis of an
enhanced Scale Invariant Feature Transform (Merge-SIFT or M-SIFT). The algorithm is …

In today's world a need for brand identification has become more important, as it could be
used for classification of certain brands or even in the artificial intelligence it plays an …

In this paper, we present a comparison of the scale-invariant feature transforms (SIFT)-
based feature-matching scheme and the speeded up robust features (SURF)-based feature …

Vehicle logo recognition has become an important part of object recognition in recent years
because of its usage in surveillance applications. In order to achieve a higher recognition …

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 …

An efficient recognition framework requires both good feature representation and effective
classification methods. This paper proposes such a framework based on a spatial Scale …

We explore several image processing methods to automatically identify the make of a
vehicle based focused on the manufacturer's iconic logo. Our findings reveal that large …

The recognition of vehicle manufacturer logo is a crucial and very challenging problem,
which is still an area with few published effective methods. This paper proposes a new fast …

For the classification of logo images, there are significant challenges in the classification of
merchandise logos such that only a few key points can be found in the relatively small logo …