Combined geometric and texture features for face recognition

Amal Seralkhatem O. Ali, Vijanth S. Asirvadam, Aamir S. Malik, Azrina Aziz, Sarat C. Dass

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Up to the present moment, there is lacking a suitable database for the purpose of research into the field of facial recognition to combat terrorism and acts of violence. As far as we know, there are no databases in existence that is publicly available and specifically incorporates photographic images of fugitive criminals and dangerous individuals. With aim to aid the afore-mentioned research effort, this work sets out to present a solution with the formation of a visual database of faces known as "Faces of the most wanted list". The current work's database model is expected to demonstrate holistic variations involving lighting effects, pose, focus, resolution, facial expression, age, ethnicity, gender, accessories, make-up, photographic quality, occlusions and background. The prevailing fugitive face database model incorporates lighting effects, pose, focus, resolution, facial expression, age, ethnicity, gender, accessories, make-up, photographic quality, occlusions and background. In addition to outlining the specifics of the database, presented in this work a system that combines geometric and texture facial features is proposed and tested over our new database.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)
PublisherIEEE
Pages321-325
Number of pages5
ISBN (Electronic)9781479989966
DOIs
Publication statusPublished - 25 Feb 2016
Event4th IEEE International Conference on Signal and Image Processing Applications 2015 - Kuala Lumpur, Malaysia
Duration: 19 Oct 201521 Oct 2015

Conference

Conference4th IEEE International Conference on Signal and Image Processing Applications 2015
Abbreviated titleICSIPA 2015
CountryMalaysia
CityKuala Lumpur
Period19/10/1521/10/15

Keywords

  • face database
  • facial recognition
  • geometric
  • terrorists
  • texture

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing

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