Age Estimation on Human Face Image Using Support Vector Regression and Texture-Based Features
This paper proposed a framework for estimating human age using facial features. These features exploit facial region information, such as wrinkles on the eye and cheek, which are then represented as a texture-based feature. Our proposed framework has several steps: preprocessing, feature extraction...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
ProQuest
2022
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Subjects: | |
Online Access: | https://repository.ugm.ac.id/282656/1/Age_Estimation_on_Human_Face_I.pdf |