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Homogenization of 2D & 3D Document Formats for Cuneiform Script Analysis

Published: 22 August 2015 Publication History

Abstract

In the Digital Humanities, text sources can be digitized using various methods resulting in different data representations of related documents. This presents an increased challenge for clay tablets with cuneiform script, which is one of the oldest scripts written by hand, used in the ancient Middle East for more than three millennia. Using a 3D-Scanner to acquire a cuneiform tablet or a manually created line tracing are two completely different representations of the same type of text source. Additionally, a line tracing can be born-digital as a vector graphic or it can be a raster image of a drawing with ink on paper. Each representation is typically processed with its own tool-set and the textual analysis is therefore limited to a certain type of digital representation. In this work we present a work-flow for unification of the three most common graphical representations of cuneiform tablets. The first approach vectorizes the manually created retro-digitized tracings by skeletonization and applies pattern matching to extract the wedges, which are the radical elements of cuneiform script. Secondly, the born-digital drawings also require pattern matching as the curved lines are set differently by each draftsperson. Due to the density of wedges, a subsequent conflict resolution is applied to both types of line drawings. As cuneiform characters are written by hand in 3D, we show the segmentation and extraction of wedges from high-resolution 3D-models. The result is one representation exported as Scalable Vector Graphic (SVG), which is used for character retrieval for a future Optical Character Recognition (OCR) as ultimate goal.

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Cited By

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  • (2017)Automating Transliteration of Cuneiform from Parallel Lines with Sparse Data2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)10.1109/ICDAR.2017.106(615-620)Online publication date: Nov-2017
  • (2016)Segmentation Free Spotting of Cuneiform Using Part Structured Models2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)10.1109/ICFHR.2016.0064(301-306)Online publication date: Oct-2016
  1. Homogenization of 2D & 3D Document Formats for Cuneiform Script Analysis

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      cover image ACM Other conferences
      HIP '15: Proceedings of the 3rd International Workshop on Historical Document Imaging and Processing
      August 2015
      155 pages
      ISBN:9781450336024
      DOI:10.1145/2809544
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 22 August 2015

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      Author Tags

      1. 3D Handwritten Script
      2. 3D-Scanning
      3. Conflict Resolution
      4. Cuneiform script
      5. Data Homogenization
      6. Data Normalization
      7. Digital Humanities
      8. Feature Extraction
      9. Pattern Matching
      10. Segmentation
      11. Skeletonization

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      • (2017)Automating Transliteration of Cuneiform from Parallel Lines with Sparse Data2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)10.1109/ICDAR.2017.106(615-620)Online publication date: Nov-2017
      • (2016)Segmentation Free Spotting of Cuneiform Using Part Structured Models2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)10.1109/ICFHR.2016.0064(301-306)Online publication date: Oct-2016

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