Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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A New Approach to Facial Skin Analyzer

Authors
R. Tamilkodi1, P. Kalyan Chakravarthy2, P. Hemanth Kumar3, *, A. V. Laksmi Narayana3, A. Karthik3, I. Ramabrahmam3
1Professor, Department of CSE (AIML& CS) Godavari Institute of Engineering and Technology, Rajahmundry, Andhra Pradesh, India
2Assistant Professor, Department of CSE (AIML & CS) Godavari Institute of Engineering and Technology, Rajahmundry, Andhra Pradesh, India
3Department of Computer Science & Engineering (AIML & CS) Godavari Institute of Engineering and Technology, Rajahmundry, Andhra Pradesh, India
*Corresponding author. Email: hk9262809@gmail.com
Corresponding Author
P. Hemanth Kumar
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_129How to use a DOI?
Keywords
Skin Analysis; wrinkles; pores; Age detection; gender prediction
Abstract

This software delves deep into facial skin analysis, beginning with the capture of images. These images unveil intricate details like wrinkles, pores, spots, and texture, and the software meticulously quantifies these aspects. It then intelligently categorizes your skin, drawing comparisons with peers of the same age. The subsequent stage involves precise skin color categorization, a task automated by the software. Verification ensures accuracy. Moving forward, the software generates a visual mask to pinpoint specific features, such as wrinkles, dark spots, pores, and texture, for focused scrutiny. The culmination of this facial skin analysis journey lies in offering tailored recommendations. This software aspires to create a robust model capable of recognizing facial skin and conducting comprehensive analyses. The insights it provides, including age and gender prediction, are invaluable for generating informative reports, unlocking a new dimension of skincare understanding.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
978-94-6463-471-6
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_129How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - R. Tamilkodi
AU  - P. Kalyan Chakravarthy
AU  - P. Hemanth Kumar
AU  - A. V. Laksmi Narayana
AU  - A. Karthik
AU  - I. Ramabrahmam
PY  - 2024
DA  - 2024/07/30
TI  - A New Approach to Facial Skin Analyzer
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1344
EP  - 1352
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_129
DO  - 10.2991/978-94-6463-471-6_129
ID  - Tamilkodi2024
ER  -