M. Elsabrouty

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Low-density parity check (LDPC) codes are gaining increased attention in information theory field. However one of the main problems facing usage of these codes in communication systems is its high complexity decoding scheme that results in high decoding delay. Such a delay is not acceptable in many applications. This paper presents, a new hybrid decoding(More)
This paper proposes a new approach to detect the eyes opening state for the purpose of alarming drowsy drivers on highroads. The input image frame is processed in successive steps using a combination of algorithms, namely wavelets transform, edge detection and YCbCr transform. The algorithm performs well, regardless the size of the image and is immune to(More)
Face detection plays a huge role in many applications such as security, surveillance and human-computer interface. This paper presents a new face detection for the purpose of drowsy driver assistant system. The algorithm is based on a combination two different principles of detection, namely detection of skin color and modified PCA analysis. The algorithm(More)
This paper proposes a new approach to help the drowsy drivers on the roads by developing a real time computerized system which has the ability to detect the face and to know the status of the eyes, if the eyes are closed the system strikes out an alarm to alert the driver. We used PCA and skin tone for face detection. For eye detection we used edge(More)
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