Traffic sign classification using Block-partition matching

概要

論文の詳細を見る
Classification method for traffic sign using block-partitioned matching method is proposed. So it describes a new solution according to the idea of simplifying the problem, using color information and shape information. The proposed method uses HSV image in the preprocessing step. HSV is convenient to match the color and to determine one color is similar to another color. The first step is to divide by group. The second step is used Histogram analysis method for color information and projection method for shape information as feature of traffic sign. Binary image uses for the projection. Finally block partition matching uses in the matching step for classification. This method does not need many sample images of traffic sings in the training process, only the standard traffic sign uses in this method as a reference image. So this method is able to reduce the time for the traffic sign recognition and to overcome the occlusion and illumination problem. The experimental results on circular traffic signs show the effectiveness of recognition system.
日本知能情報ファジィ学会の論文