Improvement of Information Technology for Person Identification for Usage in Energy Smart Systems

This paper is devoted to the research of information technology of person identification with an aim of its improvement for further usage in energy smart systems. As far as face recognition technologies usually exploit high-dimensional information it makes the processes of face recognition and identification computationally intensive. The purpose of this research is to overcome this problem by facing the challenges of low-quality image recognition. Therefore, there were studied the following issues of low-quality image recognition: area of face region, image resolution variety and image compression variety due to the file format. The experimental research was performed in three stages with the use of the Database of Faces, FERET and SCface database.