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Authoritative articles on OCR, HTR, and historical document analysis.
Modern OCR achieves 95% character accuracy and 92% word accuracy through a sophisticated 5-step pipeline combining computer vision and deep learning.
OCR confidence scores represent the statistical probability that a character, word, or text block has been correctly recognized. Learn how to interpret and use them.
Iron gall ink, the standard writing ink from the Middle Ages to the early 20th century, presents unique challenges for modern OCR systems.
Explore in-depth articles organized by research area
Core concepts and principles of optical character recognition
Challenges and solutions for digitizing historical materials
Deep learning architectures for handwriting recognition
Implementation guides and best practices
Real-world OCR applications and success stories
Latest research findings and academic insights
Explore how attention mechanisms revolutionized OCR accuracy and efficiency, enabling models to focus on relevant image regions during text recognition.
How can OCR systems recognize languages they've never been trained on? Discover the fascinating world of zero-shot OCR, cross-lingual transfer learning, and universal text recognition.
OCR is evolving beyond pixel-to-text extraction into multimodal understanding systems. Discover how vision-language models and contextual AI will transform document processing by 2030.
Medical records OCR demands exceptional accuracy and security. Learn how healthcare organizations achieve 99.5% accuracy on clinical documents while maintaining HIPAA compliance.
Explore how State Archives of Zurich digitized historical German documents (1803-1882) using Transkribus HTR technology, achieving 6% CER on same-hand documents through custom model training.
Master batch OCR processing at scale. Learn strategies for parallel execution, memory management, cost optimization, and distributed processing that handle millions of documents.
We provide authoritative research and insights on optical character recognition (OCR) technology, handwriting analysis, and digital preservation. Based in Brisbane, Australia, we bridge the gap between complex technical concepts and practical understanding.
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