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Facial Wrinkles Detection Techniques and its Application

by Ashwini Mawale, Archana Chaugule
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 7
Year of Publication: 2016
Authors: Ashwini Mawale, Archana Chaugule
10.5120/ijca2016907826

Ashwini Mawale, Archana Chaugule . Facial Wrinkles Detection Techniques and its Application. International Journal of Computer Applications. 134, 7 ( January 2016), 5-8. DOI=10.5120/ijca2016907826

@article{ 10.5120/ijca2016907826,
author = { Ashwini Mawale, Archana Chaugule },
title = { Facial Wrinkles Detection Techniques and its Application },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 7 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 5-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number7/23924-2016907826/ },
doi = { 10.5120/ijca2016907826 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:33:29.600830+05:30
%A Ashwini Mawale
%A Archana Chaugule
%T Facial Wrinkles Detection Techniques and its Application
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 7
%P 5-8
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face recognition is process of identifying or verifying individual person by their face. One of the most important sources of the information is human face which can be intended for personal verification and identification of individual person. Wrinkles play an essential role in age estimation. They have been commonly used in applications, such as face age estimation, facial retouching and facial expression recognition. Facial wrinkles present 3D form of skin and appear as skillful discontinuities or cracks in surrounding skin texture. There are different techniques present for facial wrinkles detection. This paper presents the study and review of various techniques used in wrinkle detection. This paper is motivated by need of fast and robust algorithm for detection and classification of human age and facial retouching.

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Index Terms

Computer Science
Information Sciences

Keywords

Age Classification Face Recognition Face Detection methods Feature Extraction techniques Wrinkle Detection.

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