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Reseach Article

DIC Structural HMM based IWAK-means to Enclosed Face Data

by Mohammed Alhanjouri, Hana Hejazi
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

@article{ 10.5120/2269-2923,
author = { Mohammed Alhanjouri, Hana Hejazi },
title = { DIC Structural HMM based IWAK-means to Enclosed Face Data },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 18 },
number = { 4 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 43-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume18/number4/2269-2923/ },
doi = { 10.5120/2269-2923 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:27.846253+05:30
%A Mohammed Alhanjouri
%A Hana Hejazi
%T DIC Structural HMM based IWAK-means to Enclosed Face Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 18
%N 4
%P 43-50
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
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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Index Terms

Computer Science
Information Sciences

Keywords

HMM Curvelet Waveatom Face Recognition Structural HMM