Logios : An open source Greek Polytonic Optical Character Recognition system

TL;DR

This paper introduces Logios, an open-source OCR system tailored for Greek polytonic texts, combining convolutional and recurrent neural networks to improve recognition accuracy and efficiency.

Contribution

The paper presents a novel OCR system specifically designed for Greek polytonic scripts, utilizing deep learning techniques and open-sourcing the model for academic use.

Findings

Significant accuracy improvements over traditional OCR methods

Effective recognition of complex Greek polytonic characters

Open-source platform facilitates academic research

Abstract

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.