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- W1481381567 abstract "A great deal of information can be inferred from human facial images, such as emotions, gender, race, and age. Recently age estimation has developed a variety of applications including, internet access control, underage prevention of cigarette and alcohol machines, and many more. This paper presents a method to classify facial images into 3 evenly distributed age groups. Biometric ratios and wrinkle analysis are used to define features of faces. Three different classifying algorithms have been used for prediction. Testing is done using hold-out approach. A sufficiently large database is used to validate the credibility of results." @default.
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- W1481381567 date "2015-02-01" @default.
- W1481381567 modified "2023-09-23" @default.
- W1481381567 title "Age estimation from facial images using biometric ratios and wrinkle analysis" @default.
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- W1481381567 doi "https://doi.org/10.1109/nsitnsw.2015.7176403" @default.
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