Manuscript Investigation in the Sinai II Project

Authors

  • Fabian Hollaus Institute of Computer Aided Automation Computer Vision Lab Vienna University of Technology
  • Ana Camba Institute of Computer Aided Automation Computer Vision Lab Vienna University of Technology
  • Stefan Fiel Institute of Computer Aided Automation Computer Vision Lab Vienna University of Technology
  • Sajid Saleem Institute of Computer Aided Automation Computer Vision Lab Vienna University of Technology
  • Robert Sablatnig Institute of Computer Aided Automation Computer Vision Lab Vienna University of Technology

DOI:

https://doi.org/10.55630/dipp.2014.4.23

Keywords:

not defined

Abstract

This work is concerned with the analysis of historical manuscripts. The manuscripts investigated are partially in a bad condition, due to their age, bad storage conditions etc. These circumstances impede a transcription of the ancient writings, as well as the application of document image analysis methods. Therefore, the writings are imaged with a portable MultiSpectral Imaging acquisition system. By using this non-invasive investigation technique the contrast of the degraded and faded-out writings can be enhanced. In order to gain a further contrast enhancement, a post-processing method has been developed. Additionally, two document analysis methods have been developed in order to facilitate the work of scholars: First, an Optical Character Recognition is described. Second, a method designed for the automated identification of writers of ancient Slavic manuscripts is explained. This paper provides an overview on the manuscript investigation techniques mentioned.

References

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Published

2014-09-30

How to Cite

Hollaus, F., Camba, A., Fiel, S., Saleem, S., & Sablatnig, R. (2014). Manuscript Investigation in the Sinai II Project. Digital Presentation and Preservation of Cultural and Scientific Heritage, 4, 200–205. https://doi.org/10.55630/dipp.2014.4.23