Mamatov N.
Doctor of Technical Sciences, Professor, Head of the Department of Digital Technologies and Artificial Intelligence,
“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan
Samijonov A.
Assistant, Department of Digital Technologies and Artificial Intelligence,
“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan
Erejepov K.
Researcher, Department of Digital technologies and artificial intelligence,
“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan
Narzullayev I.
PhD student,
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan
Samijonov B.
Student,
Sejong University, South Korea

Abstract
Face image identification and verification has been a popular research topic in computer vision for several years. Geometrical normalization of the face image is important in this, and it has a direct impact on the recognition accuracy. This article is devoted to face image geometric normalization algorithms, it describes a face image normalization algorithm with high recognition speed and real-time performance.

 Keywords: face image, normalization, algorithm, scale, brightness, recognition, warp matrix, threshold, segment.