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Description:

A program for fully automatic conversion of line plots in scientific papers into numerical data has been developed. By the conversion of image data into numerical data, users can treat so-called ‘spectra’ such as X-ray photoelectron spectra and optical absorption spectra in their purpose, plotting them in different ways such as inverse of wave number, subtracting them from users’ data, and so forth. This article reports details of the program consisting of many parts, with several deep-learning models with different functions, elimination of literal characters, color separation, and so forth. Most deep-learning models achieve accuracy higher than 95%. Its usability is demonstrated with some examples.

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• In Copyright
  In Copyright

Keyword: Image data, Numerical data, Automatic conversion, Plot with multiple line, Deep learning

Date published: 2020-10-26

Publisher: Society of Computer Chemistry, Japan

Journal:

• Journal of Computer Chemistry, Japan (ISSN: 13473824) vol. 19 issue. 2 p. 25-35

Funding:

Manuscript type: Not a journal article

MDR DOI: https://doi.org/10.48505/nims.1445

First published URL: https://doi.org/10.2477/jccj.2020-0002

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Updated at: 2024-01-05 22:12:23 +0900

Published on MDR: 2023-02-06 11:31:32 +0900