Optical Character Recognition and Text Line Recognition of Handwritten Documents: A Survey
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5881-8_41
Reference41 articles.
1. Adıgüzel H, Şahin E, Duygulu P (2012) A hybrid approach for line segmentation in handwritten documents. In: 2012 International conference on frontiers in handwriting recognition, pp 503–508
2. Alaei A, Nagabhushan P, Pal U (2011) Piece-wise painting technique for line segmentation of unconstrained handwritten text: a specific study with Persian text documents. Pattern Anal Appl 14:381–394
3. Ali AAA, Suresha M (2019) Efficient algorithms for text lines and words segmentation for recognition of Arabic handwritten script. In: Emerging research in computing, information, communication and applications: ERCICA 2018, vol 1. Springer, pp 387–401
4. Ali AAA, Suresha M (2020) Survey on segmentation and recognition of handwritten Arabic script. SN Comput Sci 1(4):192
5. Balaha HM, Ali HA, Badawy M (2021) Automatic recognition of handwritten Arabic characters: a comprehensive review. Neural Comput Appl 33:3011–3034
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