We present the open-source Imago toolkit designed for     automatic extraction and conversion of chemical structures from     raster image formats into a molecular structure representation     format used in cheminformatics. We focused on recognition of     photographed or scanned images containing noise, various outlines,     different spacing, non-straight lines, non-uniform lighting, and     etc. The designed recognition procedure is represented as a series     of successive approximations, where on each recognition step we try     to extract as much useful information as possible and reconstructs     logical layout on-the-fly. To resolve different ambiguities we are     using optimization tree, based on the distance metric between source     and recognized elements.

Imago: Open-source toolkit for chemical structure image recognition

244th National Meeting (2012)

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