Research On Algorithm Of Moving Vehicle Logo Recognition

Recognition system of vehicle mainly consists of two key technologies:recognition of vehicle_license_plate(VLP)and recognition of vehicle type.It notonly finds wide application in ITS,but also is a hot point of research in computer vision,image processing and pattern recognition.So its related technology isattended prevalently.In our paper,we pay attention to the location and recognitionof vehicle logo.The methods to deal with above problems are proposed in the paper and testified in the experiment.The paper includes four parts:1.Image preprocessing:The image is processed by several algorithms including gray level stretch,homomorphic processing and image smoothing,and then the quality of image gets better.2.VLP location algorithm:VLP location in a vehicle image mainly assists the succeeding steps for vehicle logo location,which will directly affect further process and is a key step to improve the precision of vehicle logo location recognition.Its difficulty is that because of noise,the segment threshold of norm method is hard to adjust,resulting in errors in VLP location.So,a edge project method is proposed in the paper.Experimental results show that it is a fast,robust and accurate method of VLP location and meet needs of real-time system.3.Vehicle logo location algorithm:Vehicle logo location is an important part of research system for recognition of vehicle type.While the texture feature,shape and size of every vehicle logo are different,It can consume much time if we adopt the conventional object location algorithm,such as relation match.A fast an robust vehicle logo location algorithm is proposed in this paper.The approximate scope of vehicle logo is first confirmed by preexistent knowledge,then its finer position is found by energy calculation and morphology operators.According to this process,we propose a practical method of vehicle logo location from coarse to fine.Experimental results approve the fast and efficiency of the method. 4.Vehicle logo recognition algorithm:After location,vehicle logo recognition becomes a 2-D shape recognition problem.But being subject to illumination and noise,it is hard to get accurate results by common methods.The range of second location is larger than that of vehicle logo to improve the location stability.To improve the accurate of recognition,a vehicle logo recognition method called invariant moments is proposed.Invariant moments are independent of position,scale and orientation.The performance is good and computation speed is quick using the invariant moments to recognize the target.