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Proceedings Paper

Image analysis and deep learning for aiding professional coin grading
Author(s): Xingyu Pan; Laure Tougne
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Paper Abstract

Coin grading means evaluating coins’ physical condition. In this paper, we proposed a process for coin grading by quantification of "unexpected elements" such as scratches and dirty marks. We detect respectively significant and tiny “unexpected elements” with the help of handcrafted filters and Deep Learning techniques. The result of our process, which is close to the manual expert one, is considered as a useful help for numismatists.

Paper Details

Date Published: 29 October 2018
PDF: 5 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 1083605 (29 October 2018); doi: 10.1117/12.2500142
Show Author Affiliations
Xingyu Pan, Univ. Lyon, CNRS, LIRIS (France)
Laure Tougne, Univ. Lyon, CNRS, LIRIS (France)


Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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