Deep optical character recognition: a case of Pashto language Zahoor, Shizza, Naz, Saeeda, Khan, Naila H. and Razzak, Muhammad I. 2020, Deep optical character recognition: a case of Pashto language, Journal of electronic imaging, vol. 29, no. 2, pp. 1-18, doi: 10.1117/1.jei.29.2.023002. Attached Files Name Description MIMEType Size Downloads Title Deep optical character recognition: a case of Pashto language Author(s) Zahoor, Shizza Naz, Saeeda Khan, Naila H. Razzak, Muhammad I. orcid.org/0000-0002-3930-6600 Journal name Journal of electronic imaging Volume number 29 Issue number 2 Article ID 023002 Start page 1 End page 18 Total pages 18 Publisher Society of Photo-optical Instrumentation Engineers Place of publication Bellingham, Wash. Publication date 2020-03 ISSN 1017-9909 Keyword(s) character recognition fine tuning AlexNet GoogleNet VGG Language eng DOI 10.1117/1.jei.29.2.023002 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30135477 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 06 Mar 2020, 08:52:29 EST Sat, 07 Mar 2020, 04:00:22 EST Wed, 11 Mar 2020, 05:03:49 EST Thu, 02 Apr 2020, 14:31:21 EST Thu, 02 Apr 2020, 14:34:31 EST Sat, 30 May 2020, 02:31:39 EST Sat, 09 Jan 2021, 01:37:13 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 101 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Fri, 06 Mar 2020, 08:52:29 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.