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Age Group Estimation from Face Images

Tiong, Pei Kee (2015) Age Group Estimation from Face Images. Final Year Project, UTAR.

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    Age group estimation is useful in real-world applications such as security access control and human computer interaction. We have proposed an age group estimation algorithm based on the wrinkle features on the face image. During pre-processing stage, geometric normalization is performed to correct the out-of-plane rotated images. Then, conversion of image to grayscale image is performed, if needed; followed by noise removal using median filtering method. Wrinkle features are extracted from the regions of interest of a normalized image using Canny edge detection for age group estimation. Finally, the images are classified into three age groups: babies/ children, young adults and old adults. The average accuracy of the algorithm is 72.66% for good quality images and 44.92% for poor quality images.

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: T Technology > TA Engineering (General). Civil engineering (General)
    T Technology > TK Electrical engineering. Electronics Nuclear engineering
    Divisions: Faculty of Engineering And Green Technology > Bachelor of Engineering (Honours) Electronic Engineering
    Depositing User: ML Main Library
    Date Deposited: 26 Nov 2015 11:40
    Last Modified: 15 Aug 2019 18:41
    URI: http://eprints.utar.edu.my/id/eprint/1809

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