Digital Assyriology—Advances in Visual Cuneiform Analysis

@article{Bogacz2022DigitalAI,
  title={Digital Assyriology—Advances in Visual Cuneiform Analysis},
  author={Bartosz Bogacz and Hubert Mara},
  journal={Journal on Computing and Cultural Heritage (JOCCH)},
  year={2022},
  volume={15},
  pages={1 - 22}
}
  • B. BogaczH. Mara
  • Published 16 May 2022
  • Computer Science
  • Journal on Computing and Cultural Heritage (JOCCH)
Cuneiform tablets appertain to the oldest textual artifacts used for more than three millennia and are comparable in amount and relevance to texts written in Latin or ancient Greek. These tablets are typically found in the Middle East and were written by imprinting wedge-shaped impressions into wet clay. There is an increasing demand in the Digital Humanities domain for handwriting recognition, i.e., machine reading of handwritten script, focusing on historic documents. Current practice in text… 
1 Citations

Figures from this paper

Annotated 3D-Models of Cuneiform Tablets

The dataset 1 consists of 3D scans of one cuneiform tablet from Haft Tappeh Iran and one cuneiform tablet of the Hilprecht Collection as well as 3D annotations on these 3D meshes, including metadata.

References

SHOWING 1-10 OF 113 REFERENCES

Cuneiform Detection in Vectorized Raster Images

This article presents an approach to extract Scalable Vector Graphics (SVG) in 2D from raster images as it previously did from 3D models and shows that the wedges are extracted with a true positive rate and a false positive rate.

GigaMesh and Gilgamesh ? 3D Multiscale Integral Invariant Cuneiform Character Extraction

This work focuses on processing the vast amounts of data of high resolution 3D models from todays close-range 3D scanners like the Breuckmann smartSCAN-3D-HE and GigaMesh, and chooses a multiscale approach using integrating geometry.

Cuneiform Character Similarity Using Graph Representations

Based on graph kernel methods, a similarity metric for cuneiform characters, which have higher degrees of freedom than handwriting with ink on paper is shown, which is compared to well-known methods for processing handwriting.

Geometrical Feature Extraction for Cuneiforms

This paper describes a method for extracting geometrical features of the wedges imprinted by the stylus that is used for writing, and introduces two independent feature extraction methods to describe the wedge marks.

Segmentation Free Spotting of Cuneiform Using Part Structured Models

  • B. BogaczN. HoweH. Mara
  • Computer Science
    2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)
  • 2016
This work develops algorithmic methods for cuneiform script, combining feature extraction for cunesiform wedges with prior work on segmentation-free word spotting using part-structured models, and adapting the inkball model used for word spotting to treat wedge features as individual parts arranged in a tree structure.

Period Classification of 3D Cuneiform Tablets with Geometric Neural Networks

  • B. BogaczH. Mara
  • Computer Science
    2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR)
  • 2020
This work combines and adapt the convolution operation of SplineNet with the pooling from PointNet++ to predict the time- period of a tablet directly on basis of its mesh representation, and reaches a classification accuracy of 84 % on 4 time-period classes.

iClay: Digitizing Cuneiform

The Digital Hammurabi Project and the Initiative for Cuneiform Encoding announce success in encoding Sumero-Akkadian cuneiform in Unicode while also demonstrating advances in 3D scanning and visualization of cuniform tablets, showcased by iClay.

Computerized Hittite Cuneiform Sign Recognition and Knowledge-Based System Application Examples

Recognition of Hittite cuneiform signs by using computer based image-processing techniques is reported and the authors demonstrated feasibility of an expert system on the Hittites' cunesiform scripts.

Character retrieval of vectorized cuneiform script

This work finds an optimal assignment between the wedge configuration of two characters w.r.t. wedge shape and position and compares its method against well known methods for handwritten character recognition with favorable results.

Building A Handwritten Cuneiform Character Imageset

This paper focused on a cuneiform document digitization task, realization of Optical Character Recognition (OCR) method from the handwritten copies of original materials, and is constructing a handwritten cuniform character imageset named with professional assistance.
...