Abstract
This paper deals with the application of multispectral imaging techniques and character recognition methods based on a of identified characters to digitized data from the Archimedes palimpsest in a unified image analysis and classification framework. The process presented in this article assisted scholars in their transcription of the palimpsest, which is one of the most important documents in the history of science. Among them, Reviel Netz, the principal scholar in translating the Archimedes text, has commented very positively on the value of the character recognition tool. In addition, the digital transcription workflow has been applied to a tenth century Hebrew colophon and even outside the digital transcription of documents.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
