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Authoritative knowledge on optical character recognition, handwriting analysis, and digital preservation technology.
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
Iron gall ink, the standard writing ink from the Middle Ages to the early 20th century, presents unique challenges for modern OCR systems.
Cursive handwriting poses unique challenges for OCR systems due to character connectivity, style variation, and ambiguity.
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.
Modern OCR achieves 95% character accuracy and 92% word accuracy through a sophisticated 5-step pipeline combining computer vision and deep learning.
Handwriting Guru serves as the definitive educational authority on Optical Character Recognition (OCR) technology.
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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