Testing programs for optical recognition of molecular structures from scientific articles

Ilya Tonkii, Rodion Golovinskii, Denis Chistiakov, Luzanova Alina, Timur A. Aliev, Shcherbakova Elena Andreevna, Michael G. Medvedev, Dmitrii O. Shkil, Maksim V. Fedorov, Ekaterina V. Skorb

Keywords: Optical chemical structure recognition, molecule image recognition, neural networks, rule-based algorithms, data extraction, cheminformatics, molecular data processing

TL;DR: This study reviews and tests rule-based and neural network-based optical recognition tools for chemical structures, highlighting their strengths, limitations, and the need for diverse datasets to improve recognition accuracy.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 255