You may want to look into the work of Matt Terry (@mrterry) from SciPy 2013 and earlier. There are a number of tools he created, using what may now be outdated matplotlib interfaces but which could save you time. One of which is yoink (https://github.com/mrterry/yoink), which is particularly good with rastered data behind a color map.
Using tools like Inkscape and/or the GIMP you should be able to crop any arbitrary figure out of a scanned paper/image and transform it so it's at least relatively rectilinear. Save that out as an image and these tools start to be useful - though there may be some customization left to go depending on what type of figure you're digitizing.
Matt gave a lightning talk at SciPy 2013 about yoink: https://youtu.be/ywHqIEv3xXg?t=1890
Josh
On Friday, February 26, 2016 at 9:12:07 AM UTC-7, Himanshu Mishra wrote:
WebPlotDigitizer works very well for an image with single plot. But when I try it with a research paper with text on it and more than one plot, it works miserably. I don't know if such tool is available online, but I would love to hear suggestions on how to make one.
Thank you, Himanshu Mishra
On 26 February 2016 at 15:15, Josh Warner silvertrumpet999@gmail.com wrote:
Using tools like Inkscape and/or the GIMP you should be able to crop any arbitrary figure out of a scanned paper/image and transform it so it's at least relatively rectilinear. Save that out as an image and these tools start to be useful - though there may be some customization left to go depending on what type of figure you're digitizing.
If you have a PDF that wasn't scanned (i.e., straight out of LaTeX), you can export the figures directly.
Stéfan
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Josh Warner -
Stéfan van der Walt