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  • 标题:Optical Character Recognition System for Urdu Words in Nastaliq Font
  • 本地全文:下载
  • 作者:Safia Shabbir ; Imran Siddiqi
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2016
  • 卷号:7
  • 期号:5
  • DOI:10.14569/IJACSA.2016.070575
  • 出版社:Science and Information Society (SAI)
  • 摘要:Optical Character Recognition (OCR) has been an attractive research area for the last three decades and mature OCR systems reporting near to 100% recognition rates are available for many scripts/languages today. Despite these develop-ments, research on recognition of text in many languages is still in its early days, Urdu being one of them. The limited existing literature on Urdu OCR is either limited to isolated characters or considers limited vocabularies in fixed font sizes. This research presents a segmentation free and size invariant technique for recognition of Urdu words in Nastaliq font using ligatures as units of recognition. Ligatures, separated into primary ligatures and diacritics, are recognized using right-to-left HMMs. Diacritics are then associated with the main body using position information and the resulting ligatures are validated using a dictionary. The system evaluated on Urdu words realized promising recognition rates at ligature and word levels.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Optical Character Recognition; Urdu Text; Liga-tures; Hidden Markov Models; Clustering
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