All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Automatic document quality assessment software module

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APR32697" target="_blank" >RIV/00216305:26230/19:PR32697 - isvavai.cz</a>

  • Result on the web

    <a href="https://github.com/DCGM/pero-quality" target="_blank" >https://github.com/DCGM/pero-quality</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic document quality assessment software module

  • Original language description

    This tool provides automatic quality assessment of digitalized documents. The estimated quality scores closely correspond to readability by humans. The tool provides quality score heatmaps and an overall quality score for a whole document page. The module computes local perceptual quality scores based on confidence scores from Optical Character Recognition (OCR) or directly by a fast convolutional neural network. This module is build on top of OCR developed in project PERO (pero-ocr). The text recognition works in multiple stages. Firstly, locations and heights of text lines are determined using a fully convolutional neural network (modified U-NET). The individual text lines are processed by covolutional-recurrent networks trained using CTC loss. These networks provide confidences of recognized characters which are locally mapped to perceptual scores. The mapping to perceptual scores was calibrated on a large dataset of readability ratings by human readers.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/DG18P02OVV055" target="_blank" >DG18P02OVV055: Advanced content extraction and recognition for printed and handwritten documents for better accessibility and usability</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    PERO-QUALITY

  • Technical parameters

    Využití na základě volné a bezplatné open-source licence.

  • Economical parameters

    Jedná se o modul pro integraci do digitalizačních linek a digitalizačního software. Komerční uplatnění je možné v rámci poskytování doplňkových služeb a konzultací.

  • Owner IČO

  • Owner name

    Fakulta informačních technologií