Optical-Chemical-Structure-Recognition

A 5-module system converting raster images of chemical structures into machine-readable SDF files with custom …

GTR-CoT uses graph traversal chain-of-thought reasoning to improve optical chemical structure recognition accuracy.

MolRec achieves 95%+ accuracy on simple structures but struggles with complex diagrams, revealing rule-based OCSR limits …

Rule-based system for optical chemical structure recognition using vectorization and geometric analysis, achieving 95% …

Novel OCSR method creating molecular fingerprints from images through functional group segmentation for database …

αExtractor uses ResNet-Transformer to extract chemical structures from literature images, including noisy and hand-drawn …

Fujiyoshi et al.'s segment-based approach for recognizing chemical structures in challenging Japanese patent images with …

Dual-stream encoder combining ConvNext and ViT for robust optical chemical structure recognition across diverse …

MolParser-7M is the largest OCSR dataset with 7.7M image-text pairs of molecules and E-SMILES, including 400k real-world …

MolParser converts molecular images from scientific documents to machine-readable formats using end-to-end learning with …