Optical Chemical Structure Recognition

Online recognition of handwritten chemical symbols using Hidden Markov Models with 11-dimensional local features, …

Two-stage CNN approach for converting molecular images to SMILES using CDDD embeddings and extensive data augmentation.

Two-level algorithm for recognizing on-line handwritten chemical expressions using structural analysis, ANNs, and string …

A hierarchical grammar-based approach for recognizing and analyzing online handwritten chemical formulas in mobile …

A two-level recognition algorithm for on-line handwritten chemical expressions using structural and syntactic features.

Comprehensive review and benchmarking of 30 years of Optical Chemical Structure Recognition (OCSR) methods and tools.

A dual-stage classifier combining SVM and HMM to recognize online handwritten chemical symbols, introducing a reordering …

A 2009 unified framework for inorganic/organic chemical handwriting recognition using graph search and statistical …

A hybrid system combining pattern recognition and rule-based expert systems to reconstruct chemical structures from …

ChemReader OCR software evaluation on TREC 2011 Chemical IR campaign achieving 93% accuracy on image-to-structure task.

Overview of the CLEF-IP 2012 benchmarking lab focusing on patent passage retrieval, flowchart recognition, and chemical …

Overview and failure analysis of the MolRec rule-based chemical structure recognition system submitted to the CLEF 2012 …