Аналіз методів розпізнавання документів для автоматичної авторизації

Abstract

This work focuses on the efficiency of document recognition for automatic authorization. The main emphasis is placed on the use of optical character recog-nition (OCR), neural network-based classification, and security verification algo-rithms. The study aims to identify key processing steps that help improve the ac-curacy and reliability of document-based authorization systems. The current con-text of the digital society highlights the importance of this research, as secure and efficient electronic identity verification remains a crucial task.