Software pro extrakci informace z polostrukturovaných dokumentů

Information extraction from semi-structured documents

software

In order to use the result by another entity, it is always necessary to acquire a license

The licensor does not require a license fee for the result

Hradiš Michal, Ing., Ph.D. (DCGM)
Kišš Martin, Ing. (DCGM)
Kohút Jan, Ing. (DCGM)
Beneš Karel, Ing. (DCGM)
Kostelník Martin, Ing. (DCGM)

Information extraction, Semi-structured documents, OCR

This software provides a full pipeline for extraction of information from custom semi-structured documents. This software also provides the ability for the user to train their own model on data of their desire. This includes several additional steps as the process includes automatic preparation of training data for the extraction model. The software is designed for usage as a command line application, but it is open for extension to support additional input and output formats.

https://github.com/DCGM/pero-indexer, pip https://pypi.org/project/pero-indexer/

BSD 3-Clause License

Copyright (c) 2022, Brno University of Technology
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
   list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its
   contributors may be used to endorse or promote products derived from
   this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Advanced content extraction and recognition for printed and handwritten documents for better accessibility and usability, MK, Program na podporu aplikovaného výzkumu a experimentálního vývoje národní a kulturní identity na léta 2016 až 2022 (NAKI II), DG18P02OVV055, 2018-2022, running
Moderní metody zpracování, analýzy a zobrazování multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-20-6460, 2020-2023, completed

Computer Graphics Research Group (RG GRAPH)

Department of Computer Graphics and Multimedia (DCGM)