Husam Ahmed Al Hamad

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The impact of increased and varied mobile phone applications in the context of Qur’an is growing rapidly. Qur’an-based software products have been developed at the cutting edge of technological innovation. The developers and content providers do try to respond with applications which focus on specific Muslim branches and affiliations, as well as particular(More)
In this paper, we describe a Cloud-Based Qur'an Application Interface, called CBQ-API, which aims at providing a unifying framework for building Qur'an related applications. CBQ-API includes all necessary components for searching, reading, annotation and building mobile applications and social networks around the central theme of Qur'an. A salient feature(More)
Using an efficient neural network for recognition and segmentation will definitely improve the performance and accuracy of the results; in addition to reduce the efforts and costs. This paper investigates and compares between results of four different artificial neural network models. The same algorithm has been applied for all with applying two major(More)
In this paper, we describe the Research and development of a portal using Drupal technology on cloud. The main focus is on designing a portal for Quran Application using Drupal which can be a center of learning resource for various users and can be hosted on cloud. It includes different features which are useful as a knowledge center. Its features can also(More)
We propose a set of techniques for extracting a new standard benchmark database for Arabic handwritten scripts. Thresholding, filtering, and skew detection/correction techniques are developed as a pre-processing step of the database. Local minima and maxima using horizontal and vertical histogram are implemented for extracting the script elements of the(More)
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