The method of user's identification using the fusion of wavelet transform and hidden Markov Models
Janusz Bobulski · 2005
A problem of persons’ identification is one of the main questions of many research centers at present. Interest of this discipline is a result of potential possibilities of practical application of new possibilities in persons’ identification in the systems demanding authorizations of persons’ access entitled to use potential resources. The most popular method of face identification is Principal Component Analysis (PCA) [1, 2]. Other popular methods are using Wavelet Transform [4] or Hidden Markov Models [6]. Analysis of the existing solutions revealed their defects, which caused their weak effectiveness. The disadvantages of these methods are as follows: