TY  - CONF
A1  - Faudzi, S.A.A.M.
A1  - Yahya, N.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906346397&doi=10.1109%2fICIAS.2014.6869522&partnerID=40&md5=70a329fcd84bfc262d4dd9989a0e710e
PB  - IEEE Computer Society
SN  - 9781479946549
Y1  - 2014///
TI  - Evaluation of LBP-based face recognition techniques
ID  - scholars4926
KW  - Gaussian noise (electronic); Security systems
KW  -  CLBP; conventional LBP; CS-LBP; LBP operator; LBPV
KW  -  Face recognition
N2  - Face recognition is a popular technique in identifying human features. In certain application such as recognizing criminals from video surveillance, where no other physical trait is available, face recognition is the most practical and assessable human recognition method. For this reason, face recognition continue to attract large research interest among image processing community. In this paper, Local Binary Pattern (LBP) texture method is used to characterize the image features. Four derivatives of LBP are evaluated in order to select the best LBP technique for face recognition system. The derivatives are conventional LBP, Center Symmetric Local Binary Pattern (CS-LBP), Local Binary Pattern Variance (LBPV) and Completed Local Binary Pattern (CLBP). The evaluations of the LBPs are conducted using Japanese female facial expression (JAFFE) and author personal databases using recognition rate and run time value as the performance metrics. In particular, three different experiments are conducted, namely LBPs in an ideal environment, LBPs in different level of contrast and LBPs in the presence of additive Gaussian noise. The results indicates that based on average recognition rate, the LBPV gives the best performance among the LBPs and consider as the most reliable LBP derivative in change of illumination and noisy environments. © 2014 IEEE.
N1  - cited By 19; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042
AV  - none
CY  - Kuala Lumpur
ER  -