Deep OCR for Arabic script‐based language like Pastho Naz, Saeeda, Khan, Naila H., Zahoor, Shizza and Razzak, Muhammad I. 2020, Deep OCR for Arabic script‐based language like Pastho, Expert Systems, pp. 1-11, doi: 10.1111/exsy.12565. Attached Files Name Description MIMEType Size Downloads Title Deep OCR for Arabic script‐based language like Pastho Author(s) Naz, Saeeda Khan, Naila H. Zahoor, Shizza Razzak, Muhammad I. orcid.org/0000-0002-3930-6600 Journal name Expert Systems Start page 1 End page 11 Total pages 11 Publisher Wiley Place of publication London, Eng. Publication date 2020 ISSN 0266-4720 1468-0394 Keyword(s) DenseNet ligature recognition MobileNet ResNet SqueezeNet Notes In Press Language eng DOI 10.1111/exsy.12565 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30136565 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, 08 May 2020, 09:23:46 EST Sat, 09 May 2020, 05:00:23 EST Sat, 09 May 2020, 06:04:48 EST Mon, 11 May 2020, 08:26:52 EST Tue, 12 May 2020, 06:03:43 EST Wed, 13 May 2020, 10:51:01 EST Wed, 13 May 2020, 10:52:51 EST Wed, 13 May 2020, 10:54:25 EST Wed, 13 May 2020, 10:55:22 EST Sat, 13 Jun 2020, 02:32:59 EST Fri, 25 Sep 2020, 10:12:11 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 59 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Fri, 08 May 2020, 09:23:46 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.