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Open access Aug 2026

Implementation of a Convolutional Neural Network Using VGG19 for Ogan Malay Script Recognition

This study provides one of the earliest implementations of the Convolutional Neural Network (CNN) VGG-19 architecture specifically designed for Ogan Malay script classification, and provides a strong foundation for future real-time regional script recognition applications to support cultural preservation.

S. Liem, Hafiz Irsyad · 0 citations

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