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ChemScraper: Leveraging PDF Graphics Instructions for Molecular Diagram Parsing
April 29, 2024, 4:45 a.m. | Ayush Kumar Shah, Bryan Manrique Amador, Abhisek Dey, Ming Creekmore, Blake Ocampo, Scott Denmark, Richard Zanibbi
cs.CV updates on arXiv.org arxiv.org
Abstract: Most molecular diagram parsers recover chemical structure from raster images (e.g., PNGs). However, many PDFs include commands giving explicit locations and shapes for characters, lines, and polygons. We present a new parser that uses these born-digital PDF primitives as input. The parsing model is fast and accurate, and does not require GPUs, Optical Character Recognition (OCR), or vectorization. We use the parser to annotate raster images and then train a new multi-task neural network for …
abstract arxiv characters cs.cv digital giving graphics however images locations parsing pdf pdfs type
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