Printed Arabic Script Recognition: A Survey
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 9
Abstract
Optical character recognition (OCR) is essential in various real-world applications, such as digitizing learning resources to assist visually impaired people and transforming printed resources into electronic media. However, the development of OCR for printed Arabic script is a challenging task. These challenges are due to the specific characteristics of Arabic script. Therefore, different methods have been proposed for developing Arabic OCR systems, and this paper aims to provide a comprehensive review of these methods. This paper also discusses relevant issues of printed Arabic OCR including the challenges of printed Arabic script and performance evaluation. It concludes with a discussion of the current status of printed Arabic OCR, analyzing the remaining problems in the field of printed Arabic OCR and providing several directions for future research.
Authors and Affiliations
Mansoor Alghamdi, William Teahan
Keywords
Related Articles
- EP ID EP394051
- DOI 10.14569/IJACSA.2018.090953
- Views 105
- Downloads 0
Exploreing K-Means with Internal Validity Indexes for Data Clustering in Traffic Management System
Traffic Management System (TMS) is used to improve traffic flow by integrating information from different data repositories and online sensors, detecting incidents and taking actions on traffic routing. In general, two d...
An Intelligent Software Workflow Process Design for Location Management on Mobile Devices
Advances in the technologies of networking, wireless communication and trimness of computers lead to the rapid development in mobile communication infrastructure, and have drastically changed information proc...
A Copula Statistic for Measuring Nonlinear Dependence with Application to Feature Selection in Machine Learning
Feature selection in machine learning aims to find out the best subset of variables from the input that reduces the computation requirement and improves the predictor performance. In this paper, a new index based on empi...
Automatic Pavement Cracks Detection using Image Processing Techniques and Neural Network
Feature extraction methods and subsequent neural network performances were used in this research to impose proper assessment for distressed roads for a case study area in the North of Jordan. Object recognition method wa...
Towards Empowering Hearing Impaired Students' Skills in Computing and Technology
Studies have shown that deaf and hearing-impaired students have many difficulties in learning applied disciplines such as Medicine, Engineering, and Computer Programming. This study aims to investigate the readiness of d...