Authors: Chuan-jun Wen, Yong-Zhao Zhan
Addresses: School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China; College of Science, Changzhou Institute of Technology, Changzhou, China. ' School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China
Abstract: In this paper, a new recognition method called the combined HMM is proposed. The method combines HMM and Mixture-HMM through KNN. Mixture HMMs are trained on any two classes of training samples with traditional HMMs. The recognition procedure of combined HMM is to make a final class judgement by KNN while the HMM|s basic decision is different from the Mixture-HMM confirmatory sentence. At the same time, some improvements for the KNN decision criterion and the HMM interactive rule are made to enhance classification ability. Experiments show that the performance of this combined method exceeds that of HMM.
Keywords: facial expression recognition; combined HMM; mixture-HMM; HMM interactive rules; KNN; hidden Markov models; facial expressions; facial recognition; biometrics.
International Journal of Computer Applications in Technology, 2010 Vol.38 No.1/2/3, pp.172 - 176
Available online: 16 Jul 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article