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DIC Structural HMM based IWAK-means to Enclosed Face Data
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 18 - Number 4 |
| Year of Publication: 2011 |
| Authors: Mohammed Alhanjouri, Hana Hejazi |
10.5120/2269-2923
|
Mohammed Alhanjouri, Hana Hejazi . DIC Structural HMM based IWAK-means to Enclosed Face Data. International Journal of Computer Applications. 18, 4 ( March 2011), 43-50. DOI=10.5120/2269-2923
Abstract
This paper identifies two novel techniques for face features extraction based on two different multi-resolution analysis tools; the first called curvelet transform while the second is waveatom transform. The resultant features are trained and tested via three improved hidden Markov Model (HMM) classifiers, such as: Structural HMM (SHMM), Deviance Information Criterion-Inverse Weighted Average K-mean-SHMM (DIC-IWAK-SHMM), and Enclosed Model Selection Criterion (EMC) coupled with DIC-IWAK-SHMM as the proposed methods for face recognition. A comparative studies for DIC-IWAK-SHMM approach to recognize the face ware achieved by using two type of features; one method using Waveatom features and the other method uses 2-level Curvelet features, these two methods compared with a six methods that used in previous researches. The goal of the paper is twofold; using Deviance information criterion and IWAK-means clustering algorithm based on SHMM.
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