抄録
There are not so many pixels on the numbers of car license plate which is obtained by surveillance camera, so the numbers can not be discriminated without endeavor. In this paper, we propose the novel method which discriminate the numbers of car license plate on low resolution by employing the moment characteristics ( skewness , flatness, aspect ratio ) for Bayesian discrimination method. The target number on low resolution is assumed to be composed of not so many pixels, e.g. four pixels on vertical direction, and two pixels on horizontal direction. We analyzed the effectiveness of our proposed method by the computer simulation for the learning data which is generated by low resolution model for car license plate numbers. The discriminated results of the actual car license plate numbers on low resolution show the usefulness of our proposed method.
