使用机器学习算法预测人类年龄和性别

Jayaprada Hiremath, Shantakumar B. Patil, Premjyoti S. Patil
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引用次数: 4

摘要

在过去的几年里,通过人脸图像进行年龄评估和性别识别已经做了很多努力。人脸图像揭示了不同的数据,如性别、年龄和国籍。计算机视觉学科中的计算机视觉和模式识别通过自动检测人脸、识别手势和人脸、发现年龄和性别,代表了人类的理想角色。本文介绍了一项利用人脸图像预测年龄和性别的研究。利用面部特征、身体姿势、MRI脑图像、巨人和pam等各种特征进行年龄和性别预测的各种研究已经开展。面部特征可以为年龄和性别识别提供更多的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human Age and Gender Prediction using Machine Learning Algorithm
From the past few years, much exertion has been carried out for age assessment & recognition of gender through face images. The images of Human’s faces uncover different data like gender, age, and nationality. Computer vision and pattern recognition in the discipline of computer vision represent an ideal role in human beings through automatic detection of face, recognition of gesture and face, and finding age and gender. Here through the paper describes a survey on predicting age and gender using face images. Various research has been developed on age and gender prediction using various features like face features, body pose, MRI brain images, giants, and pam. The face features can give more features for age and gender identification.
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