<p>Biometric verification based on ear features is modern filed for scientific research. As known, there are many biometric identifiers that can identify people such as fingerprints, iris and speech. In this paper, the focus is placed on the ear biometric model in order to verifying the identity of persons. The main idea is based on used the moments as ear feature extractors. The proposed approach included some operations as follow: image capturing, edge detection, erosion, feature extraction, and matching. The proposed approach has been tested using many images of the ears with different states. Experimental results using several trails verified that the proposed approach is achieved high accuracy level over a wide variety of ear images. Also, the verification process will be completed by matching query ear image with ear images that kept in database during real time.</p>
Cloud computing has revolutionized economy and developed technology, in which computer resources are provided based on the Internet. In particular, these resources can be provisioned dynamically and released according to the service request and with minimal management effort. Cloud computing provides the best solution for managing data, infrastructure, and so forth. However, the security issue for data sent within a public cloud remains a challenge for cloud providers. Indeed, these data are the aim of some network attacks, which are intended to interrupt, modify, and manufacture information. Thus, it is crucial to take these attacks seriouslyin order to improve the use and adoption of the cloud. Through this article, we will present a detailed study of cloud security by providing the most important existing solutions in this area. Then, we will propose a concrete example of security based on a layered methodology.
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