Research on a face recognition system by the genetic algorithm

摘要

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.