Kekulé-1 System for Chemical Structure Recognition
Foundational OCSR method combining neural OCR with chemical rule-based post-processing for automated structure …
Foundational OCSR method combining neural OCR with chemical rule-based post-processing for automated structure …
A methodological overview of OSRA, an open-source pipeline for converting chemical structure images into …
A 1999 methodology for recognizing handwritten chemical structures using a structural graph representation instead of …

Seminal OCSR system converting scanned chemical diagrams into connection tables via primitive recognition and semantic …

Machine vision approach using Gabor wavelets and Kohonen networks to classify chemical raster images and extract …

ChemReader extracts chemical structures from raster images using modified Hough transform and chemical spell checking …

Campos & Ji's method for converting 2D molecular images to SMILES strings using Transformers and SELFIES representation.
Overview of optical chemical structure recognition methods organized by approach, from deep learning to rule-based …

A 1993 prototype system for converting scanned chemical diagrams into connection tables using vectorization and …

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 …