北京理工大学珠海学院 2020 届本科生毕业设计基于 Python 和 openCV 的人脸识别研究与实现基于 Python 和 openCV 的人脸识别研究与实现摘 要人脸识别技术(Face Recognition Technology)是对输入的图像或者视频进行判断是否存在人脸，若存在人脸，则获取该人脸的特征数据，计算特征值，并将人脸数据与已有的人脸数据进行比较，从而得出该人脸的身份信息。人脸识别技术相对于其他生物特征识别技术而言，具有更加快捷方便的特性，用户不需要特意或者直接与设备接触，设备便可自行获取数据。但同时，人脸识别技术和其他生物识别技术相比，更容易被环境的因素干扰从而出现错误，需要人为干预以及大量的数据支撑。目前，人脸识别技术在国内外的各中环境中都被广泛使用。关键词：人脸识别；生物特征识别技术；特征值北京理工大学珠海学院 2020 届本科生毕业设计Research and implementation of face recognition based on Python and opencvAbstractFace recognition technology is to judge whether there is a face in the input image or video. If there is a face, the feature data of the face will be obtained, the feature value will be calculated, and the face data will be compared with the existing face data to get the identity 北京理工大学珠海学院 2020 届本科生毕业设计information of the face. Compared with other biometric technologies, face recognition technology is more convenient and fast. Users do not need to contact with the device intentionally or directly, and the device can obtain data by itself. But at the same time, compared with other biometric technology, face recognition technology is more vulnerable to environmental interference and errors, which requires human intervention and a large number of data support. At present, face recognition technology has been widely used in various scenes at home and abroad.Keywords: Face recognition; biometrics; eigenvalues目录1 前言...........................................................................11.1 本设计的目的、意义及...
