TY - GEN
T1 - Development of partial face recognition framework
AU - Neo, H. F.
AU - Teo, C. C.
AU - Teoh, Andrew B.J.
PY - 2010
Y1 - 2010
N2 - This paper presents a new framework of face recognition system that utilizes partial information available from front face where the users are willing and able to provide for access control. It is especially useful for people where part of their face is scarred and defect thus need to be covered. Hence, either top part/eye region (people is wearing veil or mask) or bottom part of face (people is wearing sunglasses) will be recognized respectively. The partial face data are tested with Principle Component Analysis (PCA), Non-negative matrix factorization (NMF), Local NMF (LNMF) and Spatially Confined NMF (SFNMF). The experiment results show that our proposed framework is able to achieve recognition rate of 95.17% with r = 80 by using SFNMF for bottom face region. On the other hand, eye region achieves 95.12% with r = 10 by using LNMF.
AB - This paper presents a new framework of face recognition system that utilizes partial information available from front face where the users are willing and able to provide for access control. It is especially useful for people where part of their face is scarred and defect thus need to be covered. Hence, either top part/eye region (people is wearing veil or mask) or bottom part of face (people is wearing sunglasses) will be recognized respectively. The partial face data are tested with Principle Component Analysis (PCA), Non-negative matrix factorization (NMF), Local NMF (LNMF) and Spatially Confined NMF (SFNMF). The experiment results show that our proposed framework is able to achieve recognition rate of 95.17% with r = 80 by using SFNMF for bottom face region. On the other hand, eye region achieves 95.12% with r = 10 by using LNMF.
UR - http://www.scopus.com/inward/record.url?scp=77958180014&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77958180014&partnerID=8YFLogxK
U2 - 10.1109/CGIV.2010.29
DO - 10.1109/CGIV.2010.29
M3 - Conference contribution
AN - SCOPUS:77958180014
SN - 9780769541662
T3 - Proceedings - 2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010
SP - 142
EP - 146
BT - Proceedings - 2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010
T2 - 2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010
Y2 - 7 August 2010 through 10 August 2010
ER -