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Communication Dans Un Congrès Année : 2018

Image Anaysis and Deep Learning for Aiding Professional Coin Grading

Xingyu Pan
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Laure Tougne

Résumé

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.
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Dates et versions

hal-01795304 , version 1 (08-11-2018)

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Citer

Xingyu Pan, Laure Tougne. Image Anaysis and Deep Learning for Aiding Professional Coin Grading. International Conference on Image Video Processing and Artificial Intelligence, Aug 2018, Shanghai, China. ⟨10.1117/12.2500142⟩. ⟨hal-01795304⟩
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