As an important research field of artificial intelligence, image recognition technology originated in the 1940s, and it failed to develop rapidly due to the lack of basic theory and hardware performance at that time. In the 1990s, the combination of support vector machines and artificial neural networks promoted the development of image recognition technology. The emergence of convolutional neural network algorithms has led to many remarkable achievements in the fields of face recognition, image classification, and feature extraction.
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