The face is a Simple multidimensional visual model and developing a computational model for face recognition is difficult. Hidden Markov Model has been widely used in various fields like face recognition, speech recognition etc... In this, a method of face recognition based on Hidden Markov Model is proposed. The face patterns are divided into several small-scale states based on emission and transition states they are combined to obtain the recognition result. In particular, the proposed method achieved 96.6% recognition accuracy for 400 patterns of 40 subjects. ORL database is used for...