Facial image classification based on age and gender

Thakshila R. Kalansuriya, Anuja T. Dharmaratne

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

Abstract

Automatic face identification and verification from facial images attain good accuracy with large sets of training datawhile face attribute recognition from facial images still remainchallengeable. We propose a methodology for automatic age andLKgender classification based on feature extraction from facial, images, namely, primary and secondary features. Our methodology · includes three main iterations: Preprocessing, Feature extraction and Classification. Our solution is able to classify images in different lighting conditions and different illumination conditions. Classification is done using Artificial Neural Networks according to the different shape and texture variations of wrinkles on face images.

Original languageEnglish
Title of host publication2013 International Conference on Advances in ICT for Emerging Regions
Pages44-50
Number of pages7
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventInternational Conference on Advances in ICT for Emerging Regions 2013 - Colombo, Sri Lanka
Duration: 11 Dec 201315 Dec 2013
Conference number: 14th
https://ieeexplore.ieee.org/xpl/conhome/6747516/proceeding (Proceedings)

Conference

ConferenceInternational Conference on Advances in ICT for Emerging Regions 2013
Abbreviated titleICTer 2013
CountrySri Lanka
CityColombo
Period11/12/1315/12/13
Internet address

Keywords

  • Age classification
  • Feature extraction
  • Gender classification
  • Texture
  • Wrinkles

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