Title :
An Improved Face Recognition Algorithm Based on Skin-Color Detection
Author :
Hao-xian, Wang ; Wang Chang-shuai ; Yong, Zhang ; Xing-peng, Mao
Author_Institution :
Dept. of Commun. Eng., Harbin Inst. of Technol. at Weihai, Weihai, China
Abstract :
As an important image processing technology, face recognition is an active subject in the fields of biometrics, but the low recognition rate hampers its wider use. In order to improve the operation speed and precision, a modified PCA(Principal Component Analysis) based face recognition algorithm is proposed, before applying PCA transform, background removal operation based on skin-color detection is done first, simulation results show that the better efficiency can be achieved by the improved PCA method. Therefore, it is valid in face recognition.
Keywords :
biometrics (access control); face recognition; principal component analysis; PCA transform; biometrics; face recognition algorithm; image processing technology; principal component analysis; skin-color detection; Algorithm design and analysis; Face; Face recognition; Image color analysis; Image recognition; Principal component analysis; Skin; PCA; face recognition; skin color detection;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-4519-6
DOI :
10.1109/IMCCC.2011.90