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      • Mobil phone camera Recognition Sign Language using a segmented multidecision filter adapted to the Parallel virtual machine (PVM)

        A Marwa Elbouz,Ayman Alfalou,Habib Hamam 보안공학연구지원센터 2008 International Journal of Hybrid Information Techno Vol.1 No.2

        In our society based on communication, the barrier between the spoken and gestural languages remains a main problem for the deaf-mute. To make this communication possible, we propose developing an interface using mobile phone camera with a module of recognition allowing the recognition and the restitution of the sign language in the form of synthesized words. This module is based on a spectral comparison between the image to recognize and a correlation multidecision segmented filter resulting from images reference coming from a predetermined database: correlation technique. The latter has been used for a long time to recognize a target image. However an adaptation of this technique is necessary to take into account particular characteristics of gestures (for which the target image to recognize evolves in time) and to be able to send it with a high transmission rate. Thus to obtain a reliable decision, the module of recognition must carry out a very large number of correlations, which slows down the translation process. In order to reduce this processing time, we propose implementing our recognition module by using multipost technique “PVM”. This technique is based on the distribution of calculation on various stations in parallel. This technique enables us to distribute the required computing effort on various parallel stations using (PVM) a Parallel Virtual Machine. It showed significant gains in computing time but not sufficiently for a real-time translation (mobile phone communication). To further reduce processing time, we propose adding a Comprehension Pre-selection module to the initial recognition module. The former is based on the division of images (resulting from the gesture target) in various zones, in order to reduce and eliminate all the improbable gestures, according to the positions of hands. Thus, we reduce the needed identification time.

      • Color Video Sequences Encryption/Decryption Processes Using Several Color Keys Images

        Rami El Sawda,Ayman Alfalou,Habib Hamam 보안공학연구지원센터 2008 International Journal of Security and Its Applicat Vol.2 No.2

        An optical encrypted color video sequence based on a spectral fusion of information has been proposed. Each color image of the sequence is decomposed into three basic color components. Pertinent information fusion is considered as segmentation. Encrypting consists in modulating each of these three components of the image spectrum by a corresponding phase mask. This phase mask includes pertinent information collected from various encrypted color keys according to a fusion criterion. As encrypting keys are formed by real images, it becomes an impossible task to get the target image by any trial and error random images techniques. For decrypting, a simple algorithm based on segmented correlation filters is proposed. Simulation results corroborate the effectiveness of our algorithm.

      • Enhanced System for image's compression and encryption by addition of biometric characteristics

        A. Loussert,A. Alfalou,R. El Sawda,A. Alkholidi 보안공학연구지원센터 2008 International Journal of Software Engineering and Vol.2 No.2

        In case of transmission of fast and protected information, it is important to carry out two operations distinctly. The first, is an operation of encryption, which aims to modify the compressed information to make them unreadable to whoever does not have the necessary authorization to see them (in this paper, we propose give this authorization by using a fingerprint image). The second is an operation of compression which consists in reducing the size of information to be transmitted, by removing redundant information of them. However, these two operations are often carried out separately, although they are strongly bound and one influences on the other. We propose, in this article, to carry out these two operations (compression and encryption) together with a new system able to amalgamate spectral information. This nondestructive spectral fusion, allowing at the same time the compression and the encryption of this information. This system is based on one hand on the rarity of similitude in two different fingerprints and on the second hand on the Discrete Cosine Transformation "DCT", a ransformation used for a long time in JPEG compression.

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