Abstract
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.
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This work was presented in part at the 11th International Symposium on Artificial Life and Robotics, Oita, Japan, January 23–25, 2006
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Dai, F., Kodani, T. & Fujihara, Y. Research on a face recognition system by the genetic algorithm. Artif Life Robotics 11, 67–70 (2007). https://doi.org/10.1007/s10015-006-0402-z
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DOI: https://doi.org/10.1007/s10015-006-0402-z