Yasser M. Alginahi

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Arabic character segmentation is a necessary step in Arabic Optical Character Recognition (OCR). The cursive nature of Arabic script poses challenging problems in Arabic character recognition; however, incorrectly segmented characters will cause misclassifications of characters which in turn may lead to wrong results. Therefore, off-line Arabic character(More)
Rapid advancements in communication technologies have enabled the digital community to benefit from the advantages of fast and simple digital information exchange over the internet. Such benefits, however, come in-hand with the problems and threats associated with ensuring digital copyright protection preventing digital counterfeiting,(More)
The advancements in pattern recognition has accelerated recently due to the many emerging applications which are not only challenging, but also computationally more demanding, such evident in Optical Character Recognition (OCR), Document Classification, Computer Vision, Data Mining, Shape Recognition, and Biometric Authentication, for instance. The area of(More)
This paper introduces a novel fragile watermarking method for digital Quran image authentication and tamper identification. The presented scheme utilizes discrete wavelet transform (DWT) and can locate the pixels of malicious tampering if present. The wavelet coefficients are considered for embedding authentication code that are encrypted with a secret key,(More)
 Abstract—Automatic License Plate (LP) recognition uses optical character recognition to read LPs on vehicles, such system is essential for traffic control, theft control, electronic toll collection, parking lots access and/or billing. The proposed Arabic LP recognition system is applied to Saudi Arabian LPs which have two different formats. Therefore,(More)
In this digital era, the authenticity of digital documents can be doubtful because it may suffer from tampering activity. Looking into Muslim community, the most important book/scripture is the Holy Quran. The Muslim community has put great efforts to ensure the authenticity of the printed Holy Quran. However, such effort is not accompanied for digital Holy(More)
This paper presents a novel watermarking method to facilitate the authentication and detection of the image forgery on the Quran images. Two layers of embedding scheme on wavelet and spatial domain are introduced to enhance the sensitivity of fragile watermarking and defend the attacks. Discrete wavelet transforms are applied to decompose the host image(More)
Converting scanned gray-level images into binary format, while retaining the foreground and removing the background is a very important step in document image analysis. An application is in processing security documents, such as identification cards, passports and residency cards, which contain watermarks and special hidden features. Bi-level thresholding(More)
Disaster preparation and management, such as emergency evacuation, is very essential for public places. This is especially true for Al-Masjid An-Nabawi which accommodates millions of Muslims around the world during Umrah and Hajj seasons. This paper describes the evaluation process carried out to determine the most suitable software for the purpose of(More)
This paper addresses the problems and threats associated with verification of integrity, proof of authenticity, tamper detection, and copyright protection for digital-text content. Such issues were largely addressed in the literature for images, audio, and video, with only a few papers addressing the challenge of sensitive plain-text media under known(More)