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.