Figure and Figure Caption Extraction for Mixed Raster and Vector PDFs: Digitization of Astronomical Literature with OCR Features
2022; Springer Science+Business Media; Linguagem: Inglês
10.1007/978-3-031-16802-4_5
ISSN1611-3349
AutoresJill Naiman, Peter K. G. Williams, Alyssa Goodman,
Tópico(s)Advanced Image and Video Retrieval Techniques
ResumoScientific articles published prior to the "age of digitization" in the late 1990s contain figures which are "trapped" within their scanned pages. While progress to extract figures and their captions has been made, there is currently no robust method for this process. We present a YOLO-based method for use on scanned pages, post-Optical Character Recognition (OCR), which uses both grayscale and OCR-features. When applied to the astrophysics literature holdings of the Astrophysics Data System (ADS), we find F1 scores of 90.9% (92.2%) for figures (figure captions) with the intersection-over-union (IOU) cut-off of 0.9 which is a significant improvement over other state-of-the-art methods.
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