Request for Proposal
Intelligent Chart Recognition and Data Extrapolation from PDF Documents
Status: RFP is Closed
Request for Proposal
RFP Title
NineSigma, representing a major Oil & Gas company, invites proposals for an intelligent data analysis and image recognition system that is able to process PDF files, correctly recognize the included figures, and extract the data in an Excel format.
NineSigma’s client has a large number of articles and documents in PDF format. These PDF documents contain a mix of text, charts and other graphical information like photos.
While character recognition routines work fine to extract text, the analysis of charts is still a challenging problem. Such charts are now manually processed to extract the underlying data.
The aim of this request is to find a technology that can solve one or more of the following challenges:
An efficient document management system able to automatically treat several PDF files will save time and money by reducing manual data entry.
Anticipated Project Phases or Project Plan
Phase 1 – Proof of concept
Histograms, Pie charts and XY Plots:
Basin Depth Maps
Credit: U.S. Geological Survey
Department of the Interior/USGS
U.S. Geological Survey/URL: https://pubs.usgs.gov/of/2002/0353/depth.html
Core Gamma Ray Curves
Phase 2 – Commercial application of one or more of the proof of concepts demonstrated above
The successful technology will:
Possible approaches might include, but are not limited to:
The following approaches are not of interest:
Your response should address the following:
Appropriate responses to this Request
Responses from companies (small to large), researchers, consultants, venture capitalists, entrepreneurs, or inventors are welcome. For example:
You represent a company that has demonstrated track record of advanced image processing technologies that are suitable for this request
You represent a university research department that is working on new concepts of image processing technologies that should be suitable for this request