Computerized Character Recognition Applicable in Security Technology Using Various Artificial Intelligence Methodologies
Copyright (c) 2025 Zsenák-Simon Orsolya, Zsenák István
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Abstract
Several articles have been written on how an algorithm can recognize shapes placed within an image format. In our study, we utilized the algorithm of Hopfield neural networks and compared the results with a procedure based on Fuzzy logic. While these algorithms are individually suitable for character recognition, intriguing findings emerge when we compare the outcomes obtained by each algorithm.
Understanding the capabilities of available artificial intelligence methodologies is crucial from various aspects of national security. Machine character recognition intersects with both public administration and public safety, hence it's important to comprehend which programming technologies can efficiently perform this task. Nevertheless, the comparison presented in this study is just one of many that should be conducted within the field of artificial intelligence.
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