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Title
Vehicle Logo Recognition using Image Matching and Textural Features
Type of Research Presentation
Keywords
vehicle, logo recognition, textural features, image matching
Abstract
In recent years, automatic recognition of vehicle logos has become one of the important issues in modern cities. This is due to the unlimited increase of cars and transportation systems that make it impossible to be fully managed and monitored by human. In this research, an automatic real-time logo recognition system for moving cars is introduced based on histogram manipulation. In the proposed system, after locating the area that contains the logo, image matching technique and textural features are utilized separately for vehicle logo recognition. Experimental results show that these two methods are able to recognize four types of logo (Peugeot, Renault, Samand and Mazda) with an acceptable performance, 96% and 90% on average for image matching and textural features extraction methods, respectively.
Researchers Nacer Farajzadeh (First Researcher)، Negin S. Rezaei (Second Researcher)