In this paper we propose a component-detection-based approach for interpreting the spatial structure of off-line handwritten chem-ical cyclic compound ...

This work will be focused on off- line handwritten chemical cyclic compound structure formulas recognition. Figure 1 presents some handwritten samples. Fig. 1.

The dataset is published in the following papers. A Component-detection-based Approach for Interpreting Off-line Handwritten Chemical Cyclic Compound Structures ...

In this work, we propose a component-detection-based approach for recognizing off-line handwritten Organic Cyclic Compound Structure Formulas (OCCSFs).

Apr 2, 2024 · In this work, we propose a component-detection-based approach for recognizing off-line handwritten Organic Cyclic Compound Structure Formulas ( ...

This paper proposes a VGGNet-based classifier for offline handwritten chemical ORS Symbols recognition using convolutional neural networks using data ...

Sep 9, 2022 · In [19] authors propose a component-detection-based approach for interpreting the spatial structure of off-line handwritten chemical cyclic ...

A Component-detection-based Approach for Interpreting Off-line Handwritten Chemical Cyclic Compound Structures. Conference Paper. Dec 2021. Yifei Wang · Xinguo ...

A Component-detection-based Approach for Interpreting Off-line Handwritten Chemical Cyclic Compound Structures · Chemistry, Computer Science. 2021 IEEE ...

Jun 26, 2024 · Yu, A component-detection-based approach for interpreting off-line handwritten chemical cyclic compound structures presented in part at the ...