Endpoint Extraction of Two-dimension Chemical Molecular Structure Images
Zhu Nin · Journal of Huaihai Institute of Technology · 2013
Chemical molecular structure images mainly include chemical bonds and atoms,and this paper focuses on the extraction of endpoint atom from static images.Gridding and traversing features of characters were extracted first,and BP neural network was used to train and identify characters.Secondly,the method of distance-based endpoint character identification was proposed.An endpoint atom reference table was designed to avoid character identification errors.The identified endpoints were compared with reference table,and the endpoint with the smallest distance was taken as the final identification result.Experiment results show that the method of identifying endpoints of two-dimension chemical molecular structure images has high accuracy.