eprintid: 3811
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/38/11
datestamp: 2023-11-09 15:52:05
lastmod: 2023-11-09 15:52:05
status_changed: 2023-11-09 15:47:40
type: article
metadata_visibility: show
creators_name: Osman Ali, A.S.
creators_name: Asirvadam, V.S.A.
creators_name: Malik, A.S.
creators_name: Aziz, A.
title: Age-Invariant Face Recognition Technique Using Facial Geometry
ispublished: pub
keywords: Geometry; Intelligent systems; Mathematical models; Soft computing, age-invariant; clustering FGNET; FRVT; Geometrical modeling; similarity proportion ratios; triangular features, Face recognition
note: cited By 0; Conference of 2nd International Multi-Conference on Artificial Intelligence Technology, M-CAIT 2013 ; Conference Date: 28 August 2013 Through 29 August 2013; Conference Code:106546
abstract: While face recognition systems have proven to be sensitive to factors such as illumination and pose, their sensitivity to facial aging effects is yet to be studied. The FRVT (Face Recognition Vendor Test) report estimated a decrease in performance by approximately 5 for each year of age difference. This research study proposed a geometrical model based on multiple triangular features for the purpose of handling the challenge of face age variations that affect the process of face recognition. The system is aim to serve in real time applications were the test images are usually taken in random scales that may not be of the same scale as the probe image, along with orientation, lighting, illumination, and pose variations. Multiple mathematical equations where developed and used in the process of forming distinct subjects clusters. These clusters hold the results of applying the developed mathematical models over the FGNET face aging database. © Springer-Verlag Berlin Heidelberg 2013.
date: 2013
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904890745&doi=10.1007%2f978-3-642-40567-9_8&partnerID=40&md5=77c28c5461701f9ec3f24c88b4690f06
id_number: 10.1007/978-3-642-40567-9₈
full_text_status: none
publication: Communications in Computer and Information Science
volume: 378 CC
place_of_pub: Shah Alam
pagerange: 89-98
refereed: TRUE
isbn: 9783642405662
issn: 18650929
citation:   Osman Ali, A.S. and Asirvadam, V.S.A. and Malik, A.S. and Aziz, A.  (2013) Age-Invariant Face Recognition Technique Using Facial Geometry.  Communications in Computer and Information Science, 378 CC.  pp. 89-98.  ISSN 18650929