Jayaprada Hiremath, Shantakumar B. Patil, Premjyoti S. Patil
{"title":"Human Age and Gender Prediction using Machine Learning Algorithm","authors":"Jayaprada Hiremath, Shantakumar B. Patil, Premjyoti S. Patil","doi":"10.1109/ICMNWC52512.2021.9688503","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMNWC52512.2021.9688503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
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.