TY  - JOUR
EP  - 98
PB  - Springer Verlag
SN  - 18650929
N1  - 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
TI  - Age-Invariant Face Recognition Technique Using Facial Geometry
SP  - 89
AV  - none
A1  - Osman Ali, A.S.
A1  - Asirvadam, V.S.A.
A1  - Malik, A.S.
A1  - Aziz, A.
JF  - Communications in Computer and Information Science
UR  - 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
VL  - 378 CC
Y1  - 2013///
N2  - 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.
ID  - scholars3811
KW  - Geometry; Intelligent systems; Mathematical models; Soft computing
KW  -  age-invariant; clustering FGNET; FRVT; Geometrical modeling; similarity proportion ratios; triangular features
KW  -  Face recognition
CY  - Shah Alam
ER  -