Logios : An open source Greek Polytonic Optical Character Recognition system
This addresses the challenge of digitizing Greek polytonic scripts for academic and cultural preservation, but it is incremental as it adapts existing deep learning methods to a specific domain.
The paper tackles the problem of accurately recognizing and digitizing Greek polytonic texts by developing an OCR system that combines convolutional and recurrent layers, resulting in significant improvements in accuracy and efficiency, though no concrete numbers are provided.
In this paper, we present an Optical Character Recognition (OCR) system specifically designed for the accurate recognition and digitization of Greek polytonic texts. By leveraging the combined strengths of convolutional layers for feature extraction and recurrent layers for sequence learning, our system addresses the unique challenges posed by Greek polytonic scripts. This approach aims to overcome the limitations of traditional OCR methods, offering significant improvements in accuracy and efficiency. We release the underlying model as an open-source library and make our OCR platform available for academic use.