TY - GEN
T1 - Face recognition based on the combination of histogram features and rough location information of facial parts
AU - Lee, Feifei
AU - Kotani, Koji
AU - Chen, Qiu
AU - Ohmi, Tadahiro
PY - 2008/12/1
Y1 - 2008/12/1
N2 - In this paper, an improved face recognition algorithm based on adjacent pixel intensity difference quantization (APIDQ) histogram method is proposed. By utilizing the rough location information of the facial parts, the facial area is divided into 5 individual parts, and then APIDQ is applied on each facial component. Recognition results are firstly obtained from different parts separately and then combined by weighted averaging. The experimental result shows that top 1 recognition rate of 97.6% is achieved when evaluated by FB task of the FERET database.
AB - In this paper, an improved face recognition algorithm based on adjacent pixel intensity difference quantization (APIDQ) histogram method is proposed. By utilizing the rough location information of the facial parts, the facial area is divided into 5 individual parts, and then APIDQ is applied on each facial component. Recognition results are firstly obtained from different parts separately and then combined by weighted averaging. The experimental result shows that top 1 recognition rate of 97.6% is achieved when evaluated by FB task of the FERET database.
UR - http://www.scopus.com/inward/record.url?scp=67249157889&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67249157889&partnerID=8YFLogxK
U2 - 10.1109/ICOSP.2008.4697551
DO - 10.1109/ICOSP.2008.4697551
M3 - Conference contribution
AN - SCOPUS:67249157889
SN - 9781424421794
T3 - International Conference on Signal Processing Proceedings, ICSP
SP - 2065
EP - 2069
BT - 2008 9th International Conference on Signal Processing, ICSP 2008
T2 - 2008 9th International Conference on Signal Processing, ICSP 2008
Y2 - 26 October 2008 through 29 October 2008
ER -