摘要
车牌视频自动跟踪识别技术是智能交通系统(ITS)中的核心技术,是公路交通和城市交通管理的主要手段和发展方向。车牌识别系统可由车牌定位、车牌字符分割和车牌字符识别组成,在此使用DirectShow滤镜截取视频帧。采用中值滤波进行图像的降噪和横向的Sobel算子作边沿检测,利用测度函数计算车牌区域与一个车牌相似度的模板匹配法寻找车牌位置,设计了用于图像临界值选取的车牌定位算法,最后采用BP神经网络对切割后的车牌文字进行识别。经过实际测试,系统在车牌跟踪识别方面取得了较好的效果。
The video automatic recognition technology for license plates is the core technology of intelligent traffic system （ITS）. It is the main means and development direction of highway and urban traffic management. License plate recognition sys- tem is composed of license plate localization, license plate character segmentation and license plate character recognition. Direct- Show filter is used in this system to capture video frame. The median filtering is used to reduce the image noise and the trans- verse Sobel operator is used for edge detection. The license plate area and license plate similarity template matching are calculated by means of the measure function to search for license plate location. A license plate positioning algorithm applied to image threshold selection was designed. The back-propagation neural network is adopted to recognize the text which is segmented from the binary image. Experiments results indicate that the system achieved a fairly good effect in the process of license plate tracking and recognition.
出处
《现代电子技术》
2013年第10期90-93,共4页
Modern Electronics Technique
基金
福建省自然科学基金资助项目(2012J01424)
