Authors: Wei Yu, Xudong Jiang, Bing Xiong
Addresses: EEE, Nanyang Technological University, Nanyang Avenue, Singapore 639798. ' School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798. ' EEE, Nanyang Technological University, Nanyang Avenue, Singapore 639798
Abstract: Face recognition is one of the most active biometric traits. Sample-based face detection is an active research topic in this area. It is of great interest to enhance the performance of the current face detection methods. In this paper, we propose new algorithms of sample selection and active samples generation to solve the problem of imbalanced training samples in the face detection task. Experimental results show that our proposed approaches enhance the performance of face detection, and the accuracy gain of the proposed approaches is significant when the available training samples are imbalanced or insufficient.
Keywords: face detection; sample selection; active samples generation; clustering; SVM; support vector machine; face recognition; biometrics; automated identification.
International Journal of Computer Applications in Technology, 2009 Vol.35 No.1, pp.10 - 22
Published online: 10 Apr 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article