Software module for automatic enhancement of digitized documents

Typ

software

Jazyk

anglicky

Autoři

Hradiš Michal, Ing., Ph.D., UAMT (FEKT), UPGM (FIT)
Kodym Oldřich, Ing., Ph.D., UPGM (FIT)

Popis

Tool for text-guided textual document scan quality enhancement. The method works on lines of text that can be input through a PAGE XML or detected automatically by a built-in OCR. By using text input along with the image, the results can be correctly readable even with parts of the original text missing or severely degraded in the source image. The tool includes functionality for cropping the text lines, processing them with our provided models for either text enhancement and inpainting, and for blending the enhanced text lines back into the source document image. We currently provide models for OCR and enhancement of czech newspapers optimized for low-quality scans from micro-films.

This package can be used as a standalone command line tool to process document pages in bulk. Alternatively, the package provides a python class that can be integrated in third-party software.

Klíčová slova

OCR, document, quality enhancement, Generative Adversarial Networks, Convolutional Networks

Umístění

github.com/DCGM/pero-enhance

Licence

K využití výsledku jiným subjektem je vždy nutné nabytí licence

Licenční poplatek

Poskytovatel licence na výsledek nepožaduje licenční poplatek

Licenční podmínky

Využití na základě volné a bezplatné open-source licence.

BSD 3-Clause License

Copyright (c) 2019, DCGM
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.

Projekty

Pokročilá extrakce a rozpoznávání obsahu tištěných a rukou psaných digitalizátů pro zvýšení jejich přístupnosti a využitelnosti, MK, Program na podporu aplikovaného výzkumu a experimentálního vývoje národní a kulturní identity na léta 2016 až 2022 (NAKI II), DG18P02OVV055, zahájení: 2018-03-01, ukončení: 2022-12-31, ukončen

Výzkumné skupiny

Výzkumná skupina počítačové grafiky (VZ GRAPH)

Pracoviště

Ústav počítačové grafiky a multimédií (UPGM)