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AuthorKhan, Sulaiman
AuthorKhan, Habib Ullah
AuthorNazir, Shah
Available date2022-12-27T09:39:12Z
Publication Date2021-07-27
Publication NameSecurity and Communication Networks
Identifierhttp://dx.doi.org/10.1155/2021/3543816
CitationKhan, S., Khan, H. U., & Nazir, S. (2021). Offline Pashto Characters Dataset for OCR Systems. Security and Communication Networks, 2021.
ISSN1939-0114
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85112461986&origin=inward
URIhttp://hdl.handle.net/10576/37652
AbstractIn computer vision and artificial intelligence, text recognition and analysis based on images play a key role in the text retrieving process. Enabling a machine learning technique to recognize handwritten characters of a specific language requires a standard dataset. Acceptable handwritten character datasets are available in many languages including English, Arabic, and many more. However, the lack of datasets for handwritten Pashto characters hinders the application of a suitable machine learning algorithm for recognizing useful insights. In order to address this issue, this study presents the first handwritten Pashto characters image dataset (HPCID) for the scientific research work. This dataset consists of fourteen thousand, seven hundred, and eighty-four samples - 336 samples for each of the 44 characters in the Pashto character dataset. Such samples of handwritten characters are collected on an A4-sized paper from different students of Pashto Department in University of Peshawar, Khyber Pakhtunkhwa, Pakistan. On total, 336 students and faculty members contributed in developing the proposed database accumulation phase. This dataset contains multisize, multifont, and multistyle characters and of varying structures.
Languageen
PublisherHindawi
SubjectHand-written characters
Text recognition
Machine learning
TitleOffline Pashto Characters Dataset for OCR Systems
TypeArticle
Volume Number2021
ESSN1939-0122
dc.accessType Open Access


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