This discussion focuses on the extraction of mathematical symbols from scanned journal pages using Optical Character Recognition (OCR) technology. Tools such as Adobe Acrobat and ABBYY are highlighted for their ability to edit and display the text layer of scanned PDFs. The conversation also mentions emerging technologies like Mathpix and Photomath that aim to improve the recognition of mathematical symbols from handwriting and images. Despite advancements, OCR still struggles with accuracy, particularly with older documents, necessitating human intervention for error correction.
PREREQUISITESResearchers, educators, and developers involved in digitizing academic papers, particularly those focused on mathematics and scientific documentation.
It works quite well these days but I read a lot of books (obviously scanned) on my Kindle and there are one or two mistakes in most of the books. Context usually digs me out of the problem but the Maths in some papers could produce undetectable errors (undetectable by my Maths brain, at least).pbuk said:Optical character recognition (OCR).
That sounds v intelligent. You mean an improved bolt on when the context reads as garbage? It's a matter of spotting an error in the first place.jedishrfu said:In addition, PDF tools may allow for edits of the searchable text when OCR fails to recognize some scripts.
That could be very demanding. It could involve parsing an equation and working out its meaning from the context. Sort of thing that only an expert in the field of the paper could do. But never say never, about computing.robphy said:A new technology is trying to extract mathematical symbols from handwriting and from scanned images