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Sub-Holistic Hidden Markov Model for Face Recognition

Author Affiliations

  • 1 Department of Computer Sciences, COMSATS Institute of Information Technology, Wah Cantt., 47040 PAKISTAN

Res. J. Recent Sci., Volume 2, Issue (5), Pages 10-14, May,2 (2013)


In this paper, a face recognition technique “Sub-Holistic Hidden Markov Model” has been proposed. The technique divides the face image into three logical portions. The proposed technique, which is based on Hidden Markov Model (HMM), is then applied to these portions. The recognition process involves three steps i.e. pre-processing, template extraction and recognition. The experiments were conducted on images with different resolutions of the two standard databases (YALE and ORL) and the results were analyzed on the basis of recognition time and accuracy. The accuracy of proposed technique is also compared with SHPCA algorithm, which shows better recognition rates.


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