Fingerprint recognition is a mature biometric technique for identification or authentication application. In this work, we describe a method based on the use of neural network to authenticate people who want to accede to an automated fingerprint system for E-learning. The idea is to apply back propagation algorithm on a multilayer perceptron during the training stage. One of the advantages of this technique is the use of a hidden layer which allows the network to make comparison by calculating probabilities on template which are invariant to translation and rotation. Results come both from the NIST special database 4 and a local database, and show that a proposed method gives good results in some cases.
Better health is essential to human happiness and well-being. It also makes an important contribution to economic progress, as healthy populations live longer, are more productive, and save more. Access pharmacy and drug resources are central in a successful healthcare system. That is why, it is important to localize and know pharmacies close to patient when he need a specific drug with availability and prices of this one through a mobile application. Mobile applications are accelerating day by day because more and more people using mobile phones, smartphones and tablets. We propose in this paper CamPharma, a mobile application that allows: (1) search pharmacies owning specific drug, (2) view the price of it, (3) viewing detailed information for a pharmacy, (4) viewing drug's details and cons-indications, (5) configure and receive alerts about taking drugs and (6) find guard pharmacies. It is a clientserver application and compatible with Android and Unstructured Supplementary Service Data (USSD). For Android users, the client is installed on the Android phone and the server part is installed on the CamPharma server. USSD users use Short Message Service (SMS) or call. The search function in CamPharma is a mathematical optimization problem expressed by an objective function f which determines five better pharmacies among N. Campharma is adapted to the context of pharmacies in Cameroon and we realized a prototype on Emerginov platform.
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