Automatically detect paper-based form fields.

Installation

Prerequisites

apt-get install libunwind8

Download a build

• Press on the badge to consult Circle CI website
• Choose a successful build
• Consult Artifacts
• Expand project/bin
• Download the right version (which depend on ubuntu version)

Or you may want to use the API to get artifacts URL (from the latest build):

https://circleci.com/api/v1.1/project/github/OpenFieldReader/OpenFieldReader/latest/artifacts

Installation

Ubuntu 14.04 x64

dpkg -i openfieldreader-ubuntu.14.04-x64.deb

Ubuntu 16.04 x64

dpkg -i openfieldreader-ubuntu.16.04-x64.deb

Ubuntu 16.10 x64

dpkg -i openfieldreader-ubuntu.16.10-x64.deb

Usage

openfieldreader [args]

Uninstallation

apt-get remove -y openfieldreader

Description

It only focuses on paper-based forms. Because handwriting text represents valuable data. They can help automatically detect entities involved. Printed characters can be processed by tesseract 4.

The algorithm run a ICR cell-detection analysis. So, no need to define a template.

• First, we extract lines and we suppose we have ICR cell corners (line junctions).
• After, we estimate width between cells and we interconnect corners. (horizontally)
• Finally, we join top and bottom corners.

We recommend to:

• run preprocessing, noise reduction, image resizing to support different resolutions, etc.
• scan at a resolution of 300dpi for best results

It can be used for other purpose as well. For example, it can extract cells from a sudoku grid. If you think about it, you can see it as 9 fields with 9 characters each.

Segmentation methods

We only support joined frame.

Copyright and license

Code released under the MIT license.