This project contains three offline handwritten chemical notations datasets: Handwritten Chemical Cyclic Compound Structures Dataset. Handwritten Chemical Formulae Dataset. Handwritten …

2022年6月9日 · Here we present DECIMER — Hand-drawn molecule images, a standardised, openly available benchmark dataset of 5088 hand-drawn depictions of diversely picked …

Abstract: In this paper, we propose an end-to-end trainable system for recognizing handwritten chemical formulae. This system recognize once a time a chemical formula, instead of one …

2023年8月19日 · Handwritten chemical equation recognition is an appealing task, but its development is hampered by the lack of publicly available datasets. To this end, we propose a …

2024年3月1日 · In the first phase, it recognizes the handwritten benzene structures using a Radial Basis Function Neural Network (RBFNN) classifier and in second phase it will recognize the …

This paper presents a new strategy for localization and recognition of graphical entities in handwritten chemical formulas. Our system includes a first phase of global perception of the …

2022年8月15日 · The handwritten chemical equation data set used in this paper is constructed as follows: Firstly, 170 common used chemical equations and ion equations were collected. …

In recent years, recognition of online handwritten chemical formulas becomes a hot area. For the common inorganic chemical formula, locating and recognizing the operators are key issues. …

2022年11月23日 · In this work, we propose a component-detection-based approach for recognizing off-line handwritten Organic Cyclic Compound Structure Formulas (OCCSFs). …

2024年5月18日 · We proposed a chemical structural analysis approach to support progressive recognition of handwritten chemical structural formulas. In the proposed approach, Chemical …