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AI-Inspired Algorithm for the Automated Recognition of the World’s Oldest Script “Brahmi”

  • Trang Jain,
  • Arpit Jain,
  • Rakesh Kumar Dwivedi,
  • Rakhi Saxena

摘要

One of the internationally known oldest script is Brahmi whose digitisation may be helpful for the archaeologists as well as it may help in the digitisation of other languages. Optical character recognition techniques with genetic algorithms will be quite useful for this purpose. In this paper, a review of the work, done on the images of Brahmi letters using CNN till now, is presented. It will be useful to check the possibility of improvement in the performance of a model used for character recognition. A model is designed where tuning of hyper parameters is done using genetic algorithms which improves the accuracy of recognition to 97%.