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Enabling New Insights with the Help of Intelligent Character Recognition (ICR)

As part of the research project "Education in Numbers" from the Institute of Educational Sciences at the University of Zurich, statistical survey forms from 1935 to 1969 were digitized. Ultimately, valuable information contained in the sources were extracted.

A total of 12,200 handwritten survey forms contain information on the number of apprenticeship-leave examinations conducted and passed, expected apprenticeship leavers, and details of apprenticeship contracts per canton in the respective survey year. Furthermore, these data sets contain intrinsically important information for the history of education, and, the economy. 

Learn throughout the Case Study how the Institute of Education Sciences was able to extract information from over 34 years of research using "Intelligent Character Recognition" and control it independently with the editor's help.

Intelligent Character Recognition (ICR) Editor

Gif_Editor-IfE |acodis

  • Original on the left side
  • The digitized version in the middle
  • The column on the right allows corrections to be made

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