Research Article
An Efficient Segmentation of U-area and T-area on Facial Images by Using Matlab with Hough Transform and Viola-Jones Algorithm Base
@INPROCEEDINGS{10.4108/eai.12-11-2022.2327390, author={Indriyani Indriyani and Ida Ayu Dwi Giriantari and Made Sudarma and I Made Widyantara}, title={An Efficient Segmentation of U-area and T-area on Facial Images by Using Matlab with Hough Transform and Viola-Jones Algorithm Base}, proceedings={Proceedings of the 2nd Multidisciplinary International Conference, MIC 2022, 12 November 2022, Semarang, Central Java, Indonesia}, publisher={EAI}, proceedings_a={MIC}, year={2023}, month={2}, keywords={u-area; t-area; viola-jones algorithm}, doi={10.4108/eai.12-11-2022.2327390} }- Indriyani Indriyani
Ida Ayu Dwi Giriantari
Made Sudarma
I Made Widyantara
Year: 2023
An Efficient Segmentation of U-area and T-area on Facial Images by Using Matlab with Hough Transform and Viola-Jones Algorithm Base
MIC
EAI
DOI: 10.4108/eai.12-11-2022.2327390
Abstract
The left and right cheeks and chin (U-area) and the forehead and nose (T-area) are useful for examining skin types. These areas provide crucial information to determine facial characteristics. The Matlab application function, particularly the Viola-Jones Algorithm base, is helpful in detecting the U and T areas. This application accurately detects normal images for face, including the eyes, nose, and mouth position. The T-area was determined by referring to the position of the eyes and nose, while the U-area was identified based on the eyes, nose, and mouth position. The accuracy in determining the two areas using this method was close to 100%.
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