Extracting Handwritten Annotations from Printed Documents Via Infrared Scanning

URN to cite this document:: urn:nbn:de:bvb:355-epub-531293
DOI to cite this document:: 10.5283/epub.53129

Schmid, Andreas

; Heckelbacher, Lorenz ; Wimmer, Raphael

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 28 Oct 2022 14:45

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Abstract

Despite ever improving digital ink and paper solutions, many people still prefer printing out documents for close reading, proofreading, or filling out forms. However, in order to incorporate paper-based annotations into digital workflows, handwritten text and markings need to be extracted. Common computer-vision and machine-learning approaches require extensive sets of training data or a clean ...