RETRACTED ARTICLE: Research on athlete recognition based on image feature extraction and artificial intelligence classification

Abstract

With the continuous development of modern technology, the continuous update and evolution of information collection, storage and information processing technology and equipment, and the problems of information security, the development of electronic identity verification related technologies has continuously attracted widespread social attention. Athlete’s personal identification authentication refers to the effective information identification and automatic authentication of mobilized personal identity. Among them, the athlete’s personal identification function is used to help judge who he is. In the context of the current unstable international military, political, economic and social situation in the country and the still severe domestic anti-terrorism situation, in order to effectively protect the personal property, life and personal property of a country and its people, improve the grassroots level of our people the basic living standards of the masses, the development of convenient, efficient, and humanized national athlete personal identification information identification system technology has developed into urgent problems. In order to accurately simulate human machine images and accurately recognize facial features of human images, artificial intelligence has been widely used in the field of image recognition technology in recent years. Related scientific research staffs have proposed many recognition methods and calculation models. Through the training of the model training cluster, the corresponding input recognition target model is obtained. After the accuracy of the input target recognition image and the input model target are compared, the model input can be judged in the future whether the accuracy of the target image is the same as the model target input image. In summary, the main key point of image recognition is still to extract image features.