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"Scalable Methods of Text and Structure Recognition for the Full-Text Digitization of Historical Prints" Part 2: Layout Analysis

"Scalable Methods of Text and Structure Recognition for the Full-Text Digitization of Historical Prints" Part 2: Layout Analysis
“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 2 部分:布局分析
批准号:
394346204
负责人:
Professor Dr. Andreas Dengel
金额:
$0.0万
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
项目状态:
已结题
起止时间:
2017-12-31 至 2018-12-31

项目摘要

项目成果

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中文摘要
翻译
“Skalierbare Verfahren der Text- und Strukturerkennung f<e:1> r die Volltextdigitalisierung historischer Drucke”项目的目标是为16 -18世纪的历史印刷品开发一个完整的ocr -工作流,以实现高质量的大规模数字化。对于工作流程中的每一步,都应该提供创新的方法作为工具。模块2:Layouterkennung列表旁边的OCR本身最重要的一步。它直接改善了OCR结果,而且还通过提供对文档组件之间的布局和关系的洞察,提高了对数字化文档的总体理解。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本项目的特定挑战。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。
英文摘要
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 2: Layouterkennung ist next to OCR itself the most important step. It improves the OCR results directly, but also improves the general understanding of the digitized document by providing insights to the layout and relations between the document components. 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.
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metis II - Artificial intelligence methods for auto-completion of designs based on semantic building information (BIM) for supporting architects in early design phases.
"Scalable Methods of Text and Structure Recognition for the Full-Text Digitization of Historical Prints" Part 1.B: Image Optimization
Sustaining Grass-roots Organizational Memories: Methods and Effects of Applying Managed Forgetting in Administrative Corporate Scenarios
  • 批准号:
    318396700
  • 项目类别:
    Priority Programmes
  • 资助金额:
    $0.0万
  • 财政年份:
    2016
  • 负责人:
    Professor Dr. Andreas Dengel
  • 依托单位:
Linked Open Citation Database (LOC-DB) - Development of a Linked Open Data database for the indexing of citations of electronic and print media
  • 批准号:
    311018540
  • 项目类别:
    Research data and software (Scientific Library Services and Information Systems)
  • 资助金额:
    $0.0万
  • 财政年份:
    2016
  • 负责人:
    Professor Dr. Andreas Dengel
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data