A survey of genetic algorithm-based face recognition

作者：Dai Fengzhi; Kushida Naoki^*; Shang Liqiang; Sugisaka Masanori

来源：Artificial Life and Robotics, 2011, 16(2): 271-274.

DOI：10.1007/s10015-011-0941-9

• Angle of rotation
• Face detection and recognition
• Face-of-interest
• Genetic operators
• Invariant moment
• Recognition speed
• Special objects
• Template matching method

Traditionally, special objects can be detected and recognized by the template matching method, but the recognition speed has always been a problem. In addition, for recognition by a neural network, training the data is always time-consuming. In this article, the current method of genetic algorithm-based face recognition is summarized, and experiments for real-time use are described. The chromosomes generated by the genetic algorithm (GA) contain information (parameters) about the face, and genetic operators are used to detect and obtain the position of the face of interest in an image. Here, the parameters of the coordinates (x, y) of the center of the face, the rate of scale, and the angle of rotation θ, are encoded into the GA.

• 出版日期2011
• 单位天津大学