Optimal Training Dataset Preparation for AI-Supported Multilanguage Real-Time OCRs Using Visual Methods
Attila Biró,
Sándor Miklós Szilágyi,
László Szilágyi
Abstract:In the realm of multilingual, AI-powered, real-time optical character recognition systems, this research explores the creation of an optimal, vocabulary-based training dataset. This comprehensive endeavor seeks to encompass a range of criteria: comprehensive language representation, high-quality and diverse data, balanced datasets, contextual understanding, domain-specific adaptation, robustness and noise tolerance, and scalability and extensibility. The approach aims to leverage techniques like convolutional … Show more
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