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随着科技的发展,人脸识别技术的应用越来越广泛,本文主要介绍蚁群算法和关联度分析在人脸识别中的应用。在进行因素分析时,如眉毛、眼睛、嘴巴、耳朵等因素时,哪些是主要的,哪些是次要的,哪些需要发展,哪些需要抑制,这些都是我们非常关心的,关联度分析就是基于过去的回归分析解决以上问题。将因素赋予权重,问题转为距离问题,应用蚁群算法寻找最短距离,从照片库里找出最佳的匹配照片。
With the development of science and technology, the application of face recognition technology is more and more widely. This paper mainly introduces the application of ant colony algorithm and correlation analysis in face recognition. When analyzing the factors such as eyebrows, eyes, mouth, ear and other factors, which are the primary, which are secondary, which need to be developed and which need to be restrained, these are all very much concerned about us. The correlation analysis is based on Past regression analysis to solve the above problems. The factors are weighted, the problem is the distance problem, the application of ant colony algorithm to find the shortest distance, find the best matching photos from the photo library.