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Saraiki language characters dataset (SLCD).

Muhammad Ahmad Khan1, Khalil Khan2, Abdulrahman Aloraini3

  • 1Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Haripur, Pakistan.

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Summary
This summary is machine-generated.

A new dataset of 50,000 Saraiki handwritten characters has been created. This dataset will advance Optical Character Recognition (OCR) research for the Saraiki language.

Keywords:
Machine learningNatural language processingOptical character recognitionText recognition

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Area of Science:

  • Natural Language Processing
  • Computer Vision
  • Linguistics

Background:

  • The Saraiki language is spoken by 26 million people, primarily in Pakistan.
  • A significant portion of the population in Dera Ghazi Khan speaks Saraiki.
  • Existing Optical Character Recognition (OCR) research lacks comprehensive support for the Saraiki language.

Purpose of the Study:

  • To address the need for a robust OCR system for the Saraiki language.
  • To introduce a novel dataset of Saraiki handwritten characters for public use.
  • To facilitate scientific research in Saraiki language processing.

Main Methods:

  • Collected 50,000 scanned images of handwritten Saraiki characters.
  • Dataset contributors included teachers and students from Pak-Austria Fachhochschule.
  • Ensured diversity in contributions with approximately 1000 participants (male and female).

Main Results:

  • A comprehensive dataset of Saraiki handwritten characters is now publicly available.
  • The dataset comprises 50,000 scanned images.
  • This resource is ready for use in scientific research and OCR development.

Conclusions:

  • The created dataset is a valuable resource for advancing Saraiki language OCR technology.
  • Public accessibility of this dataset will foster further research and development.
  • This initiative supports the preservation and digital advancement of the Saraiki language.