"Scalable Methods of Text and Structure Recognition for the Full-Text Digitization of Historical Prints" Part 1.B: Image Optimization

“用于历史印刷品全文数字化的文本和结构识别的可扩展方法”第 1.B 部分：图像优化

• 批准号: 394343055
• 负责人: Professor Dr. Andreas Dengel
• 金额: --
• 依托单位: Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
• 依托单位国家: 德国
• 项目类别: Research data and software (Scientific Library Services and Information Systems)
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/394343055?language=en
• 关键词: Scalable; Methods; Text; Structure; Recognition

The project “Skalierbare Verfahren der Text- und Strukturerkennung für die Volltextdigitalisierung historischer Drucke” has the goal of developing a complete OCR-Workflow for a high quality mass digitization of historical prints from the 16th-18th century. For each step in the workflow innovative methods should be made available as tools. Module 1.B: Bildoptimierung is the basis on which high quality OCR provided. For each optimization step there are a wide variety of algorithms available, however not all of them are suitable to the specific challenges of this projects. On the basis of prior experience and work, the DFKI plans the identification, development and integration of suitable methods.

该项目“Skalierbare Verfahren der Text- und Strukturerkennung für die Volltextdigitalisierung historischer Drucke”的目标是开发一个完整的OCR工作流程，用于对16 - 18世纪的历史印刷品进行高质量的大规模数字化。对于工作流程中的每一步，都应提供创新方法作为工具。模块1.B：Bildoptimierung是提供高质量OCR的基础。对于每个优化步骤，都有各种各样的算法可用，但并非所有算法都适合该项目的特定挑战。在以往经验和工作的基础上，DFKI计划识别、开发和整合合适的方法。