外文科技资料中英文翻译.doc

外文科技资料翻译 英文原文 Research on a face recognition system by the genetic algorithm Computer vision and recognition is playing an increasingly important role in modern intelligent control.Object detection is the first and most important step in object recognition. Traditionally,a special object can be recognized by the template matching method,but the recognition speed has always been a problem.In this article,an improved general genetic algorithm-based face recognition system is proposed.The genetic algorithm(GA)has been considered to be a robust and global searching method.Here,the chromosomes generated by GA contain the information needed to recognize the object.The purpose of this article is to propose a practical method of face detection and recognition.Finally,the experimental results,and a comparison with the traditional template matching method,and some other considerations,are also given. 1 Introduction If we search on the web or in a conference proceedings about intelligent control,lots of papers and applications are presented.Among them,image processing and recognition occupy a very large percentage.The higher the degree of intelligence,the more important the image detection and recognition technology. For controlling an intelligent system(autonomous mobile vehicle,robot,etc.),the most important element is the control strategy,but before automatically making it move,image recognition is needed.For an intelligent control system,it is necessary to acquire information about the external world automatically by sensors,in order to recognize its position and the surrounding situation.A camera is one of the most important sensors for computer vision.That is to say,the system endeavors to find out what is in an image(the environment of the robot)taken by the camera:traffic signs,obstacles,guidelines,etc. The reliability and time-response of object detection and recognition have a major influence on the performance and usability of the whole object recognition system.1T