Using Facial Asymmetry Properties and Hidden Markov Models for Biometric Authentication in Security Systems

摘要: This work concerns the use of biometric features, resulting from look a face, for authentication purposes. For this we propose several different methods selection and feature analysis during face recognition. The description contains mainly possibility in later stages also identity verification based on asymmetric facial features. new method has been introduced basis designated characteristic points face. includes propositions our own algorithms detection, as well features extraction their specific coding form observation vectors recognition using Hidden Markov Models.