Identification Technology Research, Based On Particle Swarm Neural Network Mobile Robot House Number

The Robot technique has been developing for the advancement of science. Nowadays, Robot has been widely used. And Mobile Robot research is one of the hottest researches in the world. This paper is based on the AS-R Robot platform to do a lot of work concerning about the Robot Visual Navigation, and the main work is how to let the Robot to recognize the door number quickly and precisely.The use of CCD sensor to detect environment information is the key progress of the Robot Vision. But for the sensor is not precise and stabile enough that result in the data from the sensor would be not complete, not continue or uncertain, and the robot can not get the precise and complete information about the environment. That makes the Robot to detect and recognize an object become a difficult task.In this paper, after summarize the current research on the mobile Robot and considering the specific of the problem, we put forward a new door number detection and recognition method. About the detection, considering the specific circumstance that during the movement of the mobile Robot, the image from the CCD camera has its particular character, we use the HSI color model to realize the rough location of the door number and use the edge character to realize the precise location of the door number. After the door number location, we use the contour character to make the door number segmentation come true. About the recognition, for the specialness of the door number, a new method combine with the number special node and neural network to recognize the number is presented. This method use the special node to make the rough classification; And calculates moment invariants as the neural network input to realize the precise classification. Compare with the traditional method, this method can reduce the recognition error and has a good adaptability.This paper implements the module function under Visual C++ integrated develop environment. The experiment result shows that the robot could recognize the door number precisely in set time and shows that this method is feasible and effective.