TY - GEN
T1 - Multi sensors based ultrasonic human face identification
T2 - 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2012
AU - Xu, Y.
AU - Wang, J. Y.
AU - Cao, B. X.
AU - Yang, J.
PY - 2012
Y1 - 2012
N2 - This paper presents an ultrasonic sensing based human face identification approach. As a biometric identification method, ultrasonic sensing could detect the geometric structure of faces without being affected by the illumination of the environment. Multi ultrasonic sensors are used for data collection. Continuous Transmitted Frequency Modulated (CTFM) signal is chosen as the detection signal. High Resolution Range Profile (HRRP) is extracted from the echo signal as the feature and a K nearest neighbor (KNN) classifier is used for the face classification. Data fusion is applied to improve the performance for identifying faces with multi facial expressions. Experimental results show a success rate of more than 96.9% when the test database includes 62 persons and 5 facial expressions for each person. The results prove that multi sensors ultrasonic sensing could be a potential competent face identification solution for many applications.
AB - This paper presents an ultrasonic sensing based human face identification approach. As a biometric identification method, ultrasonic sensing could detect the geometric structure of faces without being affected by the illumination of the environment. Multi ultrasonic sensors are used for data collection. Continuous Transmitted Frequency Modulated (CTFM) signal is chosen as the detection signal. High Resolution Range Profile (HRRP) is extracted from the echo signal as the feature and a K nearest neighbor (KNN) classifier is used for the face classification. Data fusion is applied to improve the performance for identifying faces with multi facial expressions. Experimental results show a success rate of more than 96.9% when the test database includes 62 persons and 5 facial expressions for each person. The results prove that multi sensors ultrasonic sensing could be a potential competent face identification solution for many applications.
UR - http://www.scopus.com/inward/record.url?scp=84870613536&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870613536&partnerID=8YFLogxK
U2 - 10.1109/MFI.2012.6343000
DO - 10.1109/MFI.2012.6343000
M3 - Conference contribution
AN - SCOPUS:84870613536
SN - 9781467325110
T3 - IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
SP - 257
EP - 261
BT - 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2012 - Conference Proceedings
Y2 - 13 September 2012 through 15 September 2012
ER -