Railway Interval By Signal Number Recognition System

Railway section signal serial number is an important ID of assuring railway traffic safety, as well as the project content detected indispensably during periodical detecting. The research and implement of a recognition system of railway section signal serial number will lighten a world of intension of the test work , also provide us more correctness and completeness and comprehensive data.Both image processing and pattern recognition are adopted in the recognition of railway section signal serial number.The paper investigates some key techniques as follows: image shoot,image pretreatment,the localization and division of railway section overpassed signal post, the localization and division of serial number section,the division and recognition of serial number,etc. In the localization and segmentation module of the railway section signal post, Hough transform is used to detect quickly the pillarlike objects in the binary image after edge-handling, and transcendent knowledge and the projection histogram are used to get signal post image from which serial number districts are localized and divided. The most basically template matching algorithm of pattern recognition is adopted in the module of serial number recognition in the thesis, the experiments show that the method above-mentioned is very effective to the serial number recognition of signal.In the system, outside the existing railway S &C test vehicle is equipped with high-speed cameras, when trains arrive for an appointed distance from it, the cameras is triggered to screen the signal, and the image is input into system for recognition. The paper researched and gave an effective solution to the key techniques of recognition system of railway section signal serial number, and instances are given.Approaches and algorithms mentioned in the paper are all realized correctly in a software development platform, the experimental results used images gathered from the railway S &C test vehicle indicate the method achieves excellent performance in terms of recognition rates which is 90%,and it has met with the basical demand.