Your browser doesn't support javascript.
loading
Saraiki language characters dataset (SLCD).
Khan, Muhammad Ahmad; Khan, Khalil; Aloraini, Abdulrahman; Khan, Rehan Ullah.
Afiliação
  • Khan MA; Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Haripur, Pakistan.
  • Khan K; Department of Computer Science, School of Engineering and Digital Sciences, Nazarbayev University, Kazakhstan.
  • Aloraini A; Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia.
  • Khan RU; Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia.
Data Brief ; 54: 110473, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38774242
ABSTRACT
About 26 million people worldwide use the Saraiki language [1]. In the southern part of Punjab and Sindh, Saraiki language is extensively spoken. One of the most important Saraiki cultural hubs is Dera Ghazi Khan. In Dera Ghazi Khan, the Saraiki language is spoken by over 90 % of the population. Calligraphers use a sophisticated script to write this language. Despite the vast body of Optical Character Recognition (OCR) literature and research dedicated to other languages, a fully functional OCR system is still needed for Saraiki language [2,3]. This work presents a genuine dataset of Saraiki handwritten characters, consisting of 50,000 scanned photos, and makes it accessible to the public for use. All of the photographs include handwritten text contributed by teachers and students from Pak-Austria Fachhochschule for Applied Sciences and Technology, Pakistan. Around 1000 people, roughly half men and half women, contributed in writing this text. For scientific research, the dataset will be made accessible to the general public.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief / Data in brief Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Paquistão País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief / Data in brief Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Paquistão País de publicação: Holanda