著者

Michiko YOSHITAKE Takashi KONO Takuya KADOHIRA

出版者

Society of Computer Chemistry, Japan

雑誌

Journal of Computer Chemistry, Japan (ISSN:13471767)

巻号頁・発行日

vol.19, no.2, pp.25-35, 2020 (Released:2020-10-27)

参考文献数

18

被引用文献数

1

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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, etc. Most deep-learning models achieve accuracy higher than 95%. The usability is demonstrated with some examples.