Research on Chemical Expression Images Recognition

DOI

10.2991/jimet-15.2015.50How to use a DOI?

Keywords

image recognition, two-dimensional organic chemical structure

Abstract

There is a large amount of chemical structure stored in image format which is in the scientific literature and the network. Researching on how to recognize chemical structure from images is contribute to storage management of relevant images. The overall recognition effect of chemical structure has room for improvement. This paper proposes a new recognition for two-dimensional organic chemical structure. Firstly, preprocess the image, and then recognize and remove the isolated chemical symbols and dashed bonds. Then vectorize the remaining images and recognize the accretive chemical symbols and chemical bonds from the vectorization results. Finally, repair the results of misidentification and reorganize the chemical symbols and chemical bonds. The experiments show that the recognition rate in this paper is higher than the existing universal recognition method.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chen Hong
AU  - Xiaoping Du
AU  - Lu Zhang
PY  - 2015/12
DA  - 2015/12
TI  - Research on Chemical Expression Images Recognition
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 267
EP  - 271
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.50
DO  - 10.2991/jimet-15.2015.50
ID  - Hong2015/12
ER  -