The aim of the research is to develop algorithm for 
acceleration of image processing at automatic registration of 
meetings participants based on blurriness estimation and 
recognition of participants faces as well as audiovisual 
recording of their talks during meeting. The data captured by 
the video registration system in the intelligent meeting room 
are used for calculation variety of person face size in captured 
image as well as for estimation of face recognition methods. 
The results shows that LBP method has highest recognition 
accuracy (79,5%) as well as PCA method has the lowest false 
alarm rate (1,3%).