Е-Публикации
Технически университет - София

Abstract: This paper explores the development of an innovative method and software platform designed to digitize low-quality analog information, focusing on restoring and extracting useful data from degraded documents and images. Utilizing intelligent algorithms, the system enhances the clarity of noisy or aged materials and supports identification tasks, including facial recognition through anatomical points and regions. The proposed approach offers a solution to digitizing and restoring extensive document archives that have lost significant contrast, color, and brightness over time, and integrates with existing infrastructures for identity verification in realworld applications.

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