A. Samir Elons

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Researchers in sign language recognition customized different sensors to capture hand signs. Gloves, digital cameras, depth cameras and Kinect were used alternatively in most systems. Due to signs closeness, input accuracy is a very essential constraint to reach a high recognition accuracy. Although previous systems accomplished high recognition accuracy,(More)
Many feature generation methods have been developed using pulse-coupled neural network. Most of these methods succeeded to achieve the invariance against object translation, rotation and scaling but could not neutralize the bright background effect and non-uniform light on the quality of the generated features. To overcome the shortcomings, the paper(More)
Automated translation systems for sign languages are important in a world that is showing a continuously increasing interest in removing barriers faced by physically challenged individuals in communicating and contributing to the society and the workforce. These systems can greatly facilitate the communication between the vocal and the nonvocal communities.(More)
This paper proposes a novel technique to deal with pose variations in 3D object recognition. This technique uses pulse-coupled neural network (PCNN) for image features generation from two different viewing angles. These signatures qualities are then evaluated, using a proposed fitness function. The features evaluation step is taken before any classification(More)
Contrary to the common sense that tells us sign language depends mainly on hands, other factors such as facial expressions, body movements and lips affect dramatically a sign meaning. Arabic Sign Language (ArSL) tends to be a descriptive gesture language, facial expressions are involved in 70% of total signs. In this paper, a study on an ArSL database is(More)
The lack of a visualized representation for standard Arabic Sign Language (ArSL) makes it difficult to do something as common place as looking up an unknown word in a dictionary. The majority of printed dictionaries organize ArSL signs (represented in drawings or pictures) based on their nearest Arabic translation; so unless one already knows the meaning of(More)
In the early days Hydrocarbon wells were normally drilled vertically which rarely requires making decisions. As the technology progressed, the capability to do some deviation of the bit was used resulting in deviated or directional wells to follow the Hydrocarbon formation. This type of drilling requires real-time drilling directions decisions. In this(More)