Conference Publication Details
Mandatory Fields
Corcoran, P;Iancu, C;Costache, G
PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON OPTIMIZATION OF ELECTRICAL AND ELECTRONIC EQUIPMENT, VOL IV
Improved HMM based face recognition system
2006
January
Published
1
WOS: 1 ()
Optional Fields
HIDDEN MARKOV-MODELS
143
146
In this paper we present a face recognition system based on an embedded hidden Markov models, which uses an efficient set of observation vectors obtained from the 2D-DCT coefficients. Two dimensional data such as images are much better modeled by a two dimensional HMM compared to a one dimensional HMM, but the computational complexity of the first makes the recognition process difficult. The embedded HMM realizes a compromise between the two models: due to its pseudo two dimensional structure is able to model the two dimension data better than the one dimensional HMM and is computationally less complex than the two dimensional HMM. In order to improve the robustness of the recognition system to different illumination we apply an illumination normalization technique (CLAHE) prior to analysis.
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