|
Twitter
|
Facebook
|
Google+
|
VKontakte
|
LinkedIn
|
Viadeo
|
English
|
Français
|
Español
|
العربية
|
 
International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Saturday 26 May 2018

About IJIAS

News

Submission

Downloads

Archives

Custom Search

Contact

Connect with IJIAS

  Call for Papers - May 2018     |     Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

Algorithm approach of a classifier based on aging wrinkle analysis


[ Aproximación de un algoritmo clasificador de edad basado en el análisis de arrugas ]

Volume 18, Issue 1, October 2016, Pages 1–11

 Algorithm approach of a classifier based on aging wrinkle analysis

Luis Enrique Colmenares-Guillen1, Antonio Esteban Martínez Cruz2, Francisco Javier Albores Velasco3, and Concepcion Perez de Celis Herrero4

1 Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Mexico
2 Facultad de Ciencias de la Computación Benemerita Universidad Autonoma de Puebla, Mexico
3 Facultad de Ingeniería y Tecnología, Universidad Autónoma de Tlaxcala, Mexico
4 Facultad de Ciencias de la Computación Benemerita Universidad Autonoma de Puebla, Mexico

Original language: French

Received 21 June 2016

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


In the present investigation, the performance of a classifier based on facial analysis and detection of wrinkles is analyzed. The experimental part has been divided in two phases. The first, analyzed the proposed features, and the second, evaluated its performance on a database of faces. During the first phase, a statistical analysis of the sets analyzed has been carried out, and therefore, the correlation between the characteristics proposed for the project, have been studied and discussed. In the second phase, several tests -under different conditions- have been performed in order to determine the capability and efficiency of the system in relation to recognition tasks. In particular, the optimal size of the training set, and the performance of various measures of similarity of the two sets of proposed characteristics have been studied, also the subsets of discriminating characteristics have been evaluated.

Author Keywords: processing, anthropometry, filter, pattern, face.


How to Cite this Article


Luis Enrique Colmenares-Guillen, Antonio Esteban Martínez Cruz, Francisco Javier Albores Velasco, and Concepcion Perez de Celis Herrero, “Algorithm approach of a classifier based on aging wrinkle analysis,” International Journal of Innovation and Applied Studies, vol. 18, no. 1, pp. 1–11, October 2016.