OCR-D: An end-to-end open source OCR framework for historical printed documents

Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage Pub Date : 2019-05-08 DOI:10.1145/3322905.3322917

Clemens Neudecker, Konstantin Baierer, M. Federbusch, Matthias Boenig, Kay-Michael Würzner, Volker Hartmann, Elisa Herrmann

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引用次数: 33

Abstract

Various research projects were concerned with the development and adaptation of methods for OCR specifically for historical printed documents (cf. METAe [20], IMPACT [1], eMOP [9]). However, these initiatives have ended before the wide adoption of deep neural networks and, despite the various project's achievements, there remains a lack of OCR software that is a) comprehensive with regard to the challenges presented by the wide variety of historical documents and b) available as ready-to-use Free Software. The OCR-D project aims to rectify that. In this paper we introduce the background of OCR-D, the main challenges and shortcomings in the availability of open tools and resources for OCR of historical printed documents and discuss the various software modules and related components (repositories, workflows) that are being made available through OCR-D. Finally we provide an outlook to a number of remaining challenges that are not addressed by OCR-D and point out several examples for the positive community aspects arisen through the creation and sharing of open resources for historical German OCR.

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OCR- d:用于历史打印文档的端到端开源OCR框架

各种研究项目都关注于开发和适应专门针对历史印刷文档的OCR方法(参见METAe [20]， IMPACT [1]， eMOP[9])。然而，这些倡议在深度神经网络被广泛采用之前就已经结束了，尽管有各种各样的项目成就，仍然缺乏OCR软件，a)全面考虑到各种各样的历史文档所带来的挑战，b)作为现成的自由软件可用。OCR-D项目旨在纠正这一点。本文介绍了OCR- d的背景、历史打印文档OCR开放工具和资源可用性的主要挑战和不足，并讨论了通过OCR- d提供的各种软件模块和相关组件(存储库、工作流)。最后，我们展望了OCR- d未解决的一些剩余挑战，并指出了通过创建和共享德国历史OCR开放资源而产生的积极社区方面的几个例子。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage

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