赵麒瑞， 刘煜^*

（  国防科学技术大学信息系统与管理学院；  ）

摘要： 基于手持终端的车牌定位是基于手持终端的车牌号码识别系统的基础，是实现车牌字符分隔以及识别的先决条件。使用手持终端采集到的全景图像，容易受到复杂背景、光照条件，以及拍摄角度和距离等因素的影响，对车牌定位产生较大干扰。本文在车牌定位中，针对出现的复杂背景干扰，结合马尔科夫随机场图像分割理论，构建前景-背景分割模型，提取出前景中的车辆区域，实现复杂背景的去除；针对不同拍照角度和距离产生的影响，提取车牌色调特征信息，建立色调阈值区间，使用反馈调节的算法，得到所有可能车牌区域，再利用车牌特有的字符特征，去除伪车牌，实现准确定位。基于手持终端的车牌定位方法，能较好的去除背景干扰，克服手持终端拍摄角度和距离的影响，具有较高的车牌定位准确率。
关键词： 全景图像，前景分割，车牌定位

zhaoqirui， liuyu^*

（  College of Information System and Management, National University of Defense Technology；  ）

Abstract： License plate localization based on the handheld terminals is the basis of the license plate number recognition system based on hand-held terminals. During locating, using a handheld terminal, license plate images are vulnerable to the complex background and light conditions, and the factors such as the shooting angle and distance also have great influence on license plate localization. Coping with the complex background interference, this paper proposes a method combining the theory of Markov random field image segmentation, building a foreground- background segmentation model. Vehicles in the foreground area are extracted, thus adapting to complex background; Considering the impact of different photo angle and distance, we use license plate color characteristic information and find a tonal threshold value interval. By using feedback control algorithm, we get all potential license plate areas. By utilizing character feature of the license plates, we can remove the false license plates, achieving the ultimate localization. Our method can better remove the background interference, overcome the influence of the handset camera angle and distance, achieving the high license plate localization accuracy.

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