Image Recognition with Pastec Handout: http://bit.ly/2kptfLR James Baker, Lecturer in Digital History/Archives University of Sussex @j_w_baker This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Exceptions: quotations, embeds from external sources, logos, and marked images.
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Image Recognitionwith Pastec
Handout: http://bit.ly/2kptfLR
James Baker, Lecturer in DigitalHistory/Archives
University of Sussex
@j_w_baker
This work is licensed under a CreativeCommons Attribution-ShareAlike 4.0
International License. Exceptions: quotations,embeds from external sources, logos, and
The Hamming distance between:- “1rish” and “Irish” is 1.- “1011101” and “1001001” is 2
and
is 1
@j_w_baker
@j_w_baker
@j_w_baker
References
Baumann, Ryan. ‘Finding Near-Matches in the Rijksmuseum with Pastec’. 3November 2015. https://ryanfb.github.io/etc/2015/11/03/finding_near-matches_in_the_rijksmuseum_with_pastec.html
Setting up Pastec as a Virtual Machinehttps://gist.github.com/drjwbaker/17351599854801f9891c7e0211eed32e
Pastec http://pastec.io/doc/oss/
OpenCV http://opencv.org/
Visual Words https://en.wikipedia.org/wiki/Visual_Word