Optical Chemical-Structure Recognition by ChemInfty
Masakazu Suzuki
Faculty of Mathematics,
Kyushu University,
suzuki@isit.or.jp
Koji Nakagawa
Faculty of Mathematics,
Kyushu University,
kn@kyudai.jp
Akio Fujiyoshi
College of Engineering,
Ibaraki University
fujiyosi@mx.ibaraki.ac.jp
Summary of Demonstration:
We are developing a system, called "ChemInfty," to convert chemical-formula images into
computer-searchable formats. The development of ChemInfty is motivated by the necessity of
recognizing chemical-structure images in published patent applications and chemistry journals
to convert them into computer-searchable formats.
The system of ChemInfty consists of an automatic optical chemical-structure recognition engine
and a user interface to correct the recognition results. There are two main features in our
system:
(1) Robustness against the touching of characters and lines which are often observed in our
target chemical structure images,
(2) A semi-automatic correction system for recognized results by an inconsistency-driven
graph construction algorithm.
Our system was already used to construct a large scale ground-truth database of chemical
structure images [1].
In the demonstration session, at first the automatic process to convert various chemical-structure
image samples into searchable formats will be presented. Then the user interface to correct
recognition results will be shown.
In addition, a hand-writing chemical-structure input editor that can work on slate devices such as
iPad and Android will be also presented.
Acknowledgement:
This work is supported by "the Adaptable and Seamless Technology Transfer Program" through
target-driven R&D, Japan Science and Technology Agency (JST) [2].
References:
[1]
http://www.iapr-tc11.org/mediawiki/index.php/Chem-Infty_Dataset:_A_ground-truthed
_dataset_of_Chemical_Structure_Images.
[2] http://www.jst.go.jp/EN/.