Results 41 to 50 of about 5,692 (199)
Arabic Character Recognition Using Fractal Dimension [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2009 In this work the concepts of the pattern recognition was used to recognize printed Arabic characters, and the Fractal geometric dimension method was used.
Khalil Alsaif, Karam Thanoon
doaj +1 more source
Handwriting Arabic Character Recognition Using Features Combination
IJID (International Journal on Informatics for Development), 2021 The recognition of Arabic handwriting is a challenging problem to solve. The similarity among the fonts appears as a problem in the recognition processing.
Fitriyatul Qomariyah +2 more
doaj +1 more source
Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR [PDF]
Mehran University Research Journal of Engineering and Technology, 2016 Arabic script character recognition is challenging task due to complexity of the script and huge number of ligatures. We present a method for the development of multilingual Arabic script OCR (Optical Character Recognition) and lexicon reduction for ...
Saeeda Naz +2 more
doaj
Urdu Optical Character Recognition Systems: Present Contributions and Future Directions
IEEE Access, 2018 This paper gives an across-the-board comprehensive review and survey of the most prominent studies in the field of Urdu optical character recognition (OCR).
Naila Habib Khan, Awais Adnan
doaj +1 more source
Kannada Character Recognition System A Review [PDF]
, 2009 Intensive research has been done on optical character recognition ocr and a large number of articles have been published on this topic during the last few decades.
Indira, K., Selvi, S. Sethu
core
The Future of AI in the GCC Post‐NPM Landscape: A Comparative Analysis of Kuwait and the UAE
Politics &Policy, Volume 53, Issue 6, December 2025.ABSTRACT Comparative evidence of how two Gulf Cooperation Council (GCC) states translate artificial intelligence (AI) ambitions into post–New Public Management (post‐NPM) outcomes are scarce because most studies focus on Western democracies. To fill this gap, we examine constitutional, collective choice, and operational rules that shape AI uptake in ...
Mohammad Rashed Albous +2 more
wiley +1 more source
A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks
, 2015 Deep LSTM is an ideal candidate for text recognition. However text recognition involves some initial image processing steps like segmentation of lines and words which can induce error to the recognition system.
Chaudhury, Santanu +2 more
core +1 more source
Portable IoT device for tire text code identification via integrated computer vision system
Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 15, Page 2170-2189, 17 June 2025.Abstract The identification of tire text codes (TTC) during the production and operational phases of tires can significantly improve safety and maintenance practices. Current methods for TTC identification face challenges related to stability, computational efficiency, and outdoor applicability.
Haowei Zhang +4 more
wiley +1 more source
Sequence-to-Label Script Identification for Multilingual OCR
, 2017 We describe a novel line-level script identification method. Previous work repurposed an OCR model generating per-character script codes, counted to obtain line-level script identification. This has two shortcomings.
Baccash, Jonathan +4 more
core +1 more source
NF-SAVO: Neuro-Fuzzy system for Arabic Video OCR [PDF]
International Journal of Advanced Computer Science and Applications, 2012 In this paper we propose a robust approach for text extraction and recognition from video clips which is called Neuro-Fuzzy system for Arabic Video OCR. In Arabic video text recognition, a number of noise components provide the text relatively more complicated to separate from the background.
Mohamed Ben Halima +3 more
openaire +2 more sources