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Ancient Yi Script Handwriting Sample Repository.

Xiaojuan Liu1, Xu Han2, Shanxiong Chen3

  • 1School of Artificial Intelligence, Chongqing University of Technology, Chongqing, 400054, China.

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|October 31, 2024
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This summary is machine-generated.

This study introduces a large dataset of ancient Yi script handwriting, crucial for developing AI models for recognizing and generating historical scripts. The findings highlight the script's complexity and potential for digital preservation.

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Area of Science:

  • Historical Linguistics
  • Computer Vision
  • Digital Humanities

Background:

  • The ancient Yi script is one of the world's six oldest writing systems, with an 8000-year history.
  • Existing research lacks comprehensive datasets for computational analysis of ancient scripts.

Purpose of the Study:

  • To create a large-scale, annotated dataset of ancient Yi script handwriting.
  • To evaluate deep learning models for ancient Yi script recognition.

Main Methods:

  • Collected 427,939 handwritten Yi characters from 310 individuals.
  • Gathered continuous handwritten text samples from 250 individuals.
  • Developed an automatic sampling, cutting, and labeling method for handwritten scripts.

Main Results:

  • The dataset comprises diverse shape structures and writing styles of ancient Yi characters.
  • Deep learning models demonstrated varying recognition performance on the dataset.
  • The dataset serves as a benchmark for handwritten text recognition and generation.

Conclusions:

  • The developed dataset is valuable for advancing research in ancient script recognition and digital preservation.
  • Ancient Yi script's complexity offers unique challenges and opportunities for AI development.