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

"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:
$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

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中文摘要
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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 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.
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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 2: Layout Analysis
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