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Image Anaysis and Deep Learning for Aiding Professional Coin Grading

Xingyu Pan 1 Laure Tougne 1
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
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.
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Submitted on : Thursday, November 8, 2018 - 11:47:09 AM
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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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