Abstract
In this paper we explore the potential for securing a distributed Arabic Optical Character Recognition (OCR) system via cloud computing technology in a pervasive and mobile environment. The goal of the system is to achieve full accuracy, high speed and security when taking into account large vocabularies and amounts of documents. This issue has been resolved by integrating the recognition process and the security issue with multiprocessing and distributed computing technologies.
Our idea consists on the one hand, to consider cloud computing as an infrastructure (IaaS) to deploy our OCR application and cloud storage a service to deploy the two training and learning databases. In the other hand, to consider Authentication as a Service (AaaS) in the Software As a service (SaaS) cloud model to secure the access to the distributed OCR system (OCR application and the database).
Experimental results showed that: (i) the cloud computing technology is very promising in enhancing a distributed Arabic OCR performance, (ii) Authentication and Identity and Access Management (IAM) systems can be costly and complex, but, AaaS brings the cost benefits of SaaS to authentication. Based on advances in cloud technology, we can manage the two factor authentication and incorporating pervasive devices that was time-consuming. And (iii) transfer these burdens to a cloud provider will be an appealing option.