A simplified second-order HMM with application to face recognition

TitleA simplified second-order HMM with application to face recognition
Publication TypeConference Paper
Year of Publication2001
AuthorsOthman, H., and T. Aboulnasr
Conference NameCircuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Pagination161 -164 vol. 2
Date Publishedmay.
Keywords2D HMM, AT amp, conditional statistical relationship, face recognition, hidden Markov models, learning (artificial intelligence), nonoverlapped feature block, probability, second-order HMM, state probability density function, T Laboratories Cambridge

In this paper, we propose a novel approach to simplify the second-order 2-D HMM as applied to the problem of Face Recognition (FR). The proposed approach exploits the nonoverlapped feature block conditions and the independence that arises in the conditional statistical relationship between feature blocks in close neighborhoods. System performance is studied and the impact of the number of states and the kernels of the state probability density function is highlighted. The system was tested on the facial database of AT amp;T Laboratories Cambridge [1] and a recognition rate up to 100% has been achieved with relatively low complexity


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