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| Title | Hybrid hidden Markov model for face recognition |
| Publication Type | Conference Paper |
| Year of Publication | 2000 |
| Authors | Othman, H., and T. Aboulnasr |
| Conference Name | Image Analysis and Interpretation, 2000. Proceedings. 4th IEEE Southwest Symposium |
| Pagination | 36 -40 |
| Keywords | 2D module, candidate list, compressed domain, data compression, face recognition, hidden Markov models, HMM, hybrid hidden Markov model, local database search, low-complexity module, performance, query formulation, query processing, remote database search, visual databases |
| Abstract | In this paper, we introduce a hybrid hidden Markov model (HMM) face recognition system. The proposed system contains a low-complexity 2D HMM-based face recognition (LC 2D-HMM FR) module that carries out a complete search in the compressed domain followed by a 1D HMM-based face recognition (1D-HMM FR) module which refines the search based on a candidate list provided by the first module. We also examine a remote database search methodology that may be helpful for accessing remote resources, where no prior information is assumed regarding the contents of the remote database. The performance of the hybrid HMM face recognition system is reported for both local and remote database search modes |
| URL | http://dx.doi.org/10.1109/IAI.2000.839567 |
| DOI | 10.1109/IAI.2000.839567 |