How to insert image's features into Hidden Markov Model ?
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Hi there,
Iam trying to compare between the two methods MLP/HMM in face recognition according to there accuracy,
I already know that MLP will do better, and HMM is good only in Speach recognition, but I have to try it anyway,
since iam new to matlab, i don't know functions and toolboxes ,
I've already donne the detection (using Viola-Jones), features extraction( std & mean) and training with the MLP (Multi-Layer Perception) parts,
but I only know some basics of HMM (Hidden Markov Model), i don't know how to implement my features (Data Base) into this system, I mean, what are the States & the Observations ? and how to use the features to train the system with HMM.
I'va made a capture of my DB, each row is a picture/face of a person that belongs to a class/label.
My question is how to put these features into the HMM system ?
Thanks in advance.
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