开源希腊语多调符号文字识别系统，提升古籍数字化准确率。
Logios : An open source Greek Polytonic Optical Character Recognition system
- 结合卷积与循环网络提取特征并学习字符序列
- 针对多调希腊文设计，显著优于传统OCR方法
- 适合研究古典文献、语言学的学者使用
本文提出一种专为希腊多调文字设计的光学字符识别（OCR）系统，旨在实现高精度识别与古籍数字化。该系统融合卷积层提取特征与循环层建模序列，有效应对多调希腊文的独特挑战。相比传统方法，显著提升识别准确率与处理效率。模型已作为开源库发布，平台面向学术研究开放使用。
原文摘要 · Abstract (English)
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.
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