Recognition of offline handwritten Urdu characters using RNN and LSTM models-Reference-Cited by-同舟云学术

Recognition of offline handwritten Urdu characters using RNN and LSTM models

Published:2022-06-17 Issue:2 Volume:82 Page:2053-2076
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Misgar Muzafar Mehraj,Mushtaq Faisel,Khurana Surinder Singh,Kumar Munish

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-13320-1.pdf

Reference29 articles.

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2. Ahmad Z, Orakzai JK, Shamsher I, Adnan A (2007) Urdu Nastaleeq Optical Character Recognition. World Academy of Science, Engineering and Technology 32:249–252

3. Ahmed SB, Naz S, Swat S, Razzak MI (2017) Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier. Neural Computing & Applications 31:1143–1151

4. Ali J, Nazir S (2014) Diacritics Recognition Based Urdu Nastalique OCR System. The Nucleus 51:361–367

5. Benediktsson JA, Ghamisi P (2015) Spectral-Spatial Classification of Hyperspectral Remote Sensing Images. Boston, MA, USA

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