Title :
A novel ultrasonic sensing based human face recognition
Author :
Miao, Zhenwei ; Ji, Wei ; Xu, Yong ; Yang, Jun
Author_Institution :
State Key Lab. of Acoust., Chinese Acad. of Sci., Beijing
Abstract :
This paper presents a novel ultrasonic sensing based face recognition system, which can complement traditional vision-based recognition due to its unobtrusiveness, low-cost and robust to environmental conditions. For different configurations of Transmitter-Receiver (TR) pairs, ultrasonic chirp signal is chosen as the transmitted signal and used to demodulate the echoes for face recognition. Features directly related with the geometry of human face are extracted and verified in the designed experiments. Our results demonstrate that the proposed system can achieve a high recognition rate of 99% when required to recognize one hundred and ten different human faces, which encourages the application of ultrasound sensing for face recognition as an attractive alternative method.
Keywords :
acoustic signal processing; biometrics (access control); demodulation; face recognition; feature extraction; ultrasonic imaging; ultrasonic transducers; biometrics; echo demodulation; feature extraction algorithm; transmitter-receiver pair; ultrasonic chirp signal; ultrasonic sensing based human face recognition; ultrasonic transducer; Acoustic scattering; Biometrics; Chirp; Face detection; Face recognition; Humans; Neural networks; Robustness; Sonar; Ultrasonic imaging; acoustics; chirp rada; data acquisition; face recognition; transducers;
Conference_Titel :
Ultrasonics Symposium, 2008. IUS 2008. IEEE
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2428-3
Electronic_ISBN :
978-1-4244-2480-1
DOI :
10.1109/ULTSYM.2008.0461
