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A wide variety of systems need reliable personal recognition system to either authorize or determine the identity of an individual demanding their services. The goal of such system is to warrant that the rendered services are accessed only by a genuine user and no one else. In the absence of robust personal recognition schemes, these systems are vulnerable to the deceits of an imposter. The ATM has suffered a lot over the years against PIN theft and other associated ATM frauds due to its traditional authentication mode (PIN). In this paper, we proposed a multifactor (PIN and Fingerprint) based authentication security arrangement to enhance the security and safety of the ATM and its users. The proposed system demonstrates a three tier design structure. The first tier is the verification module, which concentrates on the enrollment phase, enhancement phase, feature extraction and matching of the fingerprints. The second tier is the database end which acts as a storehouse for storing the fingerprints of all ATM users' preregistered as templates and PIN as text. The last tier presents a system platform to relate banking transactions such as balance inquiries, mini statements and withdrawal. Microsoft windows 8 was used as an operating system platform for the implementation phase, with C# programming language being the front-end development and SQL server 2010 as backend. The application evaluation was based on False Rejection Rate (FAR), False Acceptance Rate (FAR), Average Matching Time (AMT) and the Total Error Rate (TER) conducted, which show the security and reliability of the proposed system for ATM users authentication and verification.

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Abstract-Due to the increase in the easy accessibility of computers and mobile phones alike, routing has become indispensable in deciding how computes communicate especially modern computer communication networks. This paper presents performance analysis between EIGRP and OSPFP for real time applications using Optimized Network Engineering Tool (OPNET). In order to evaluate OSPF and EIGRP's performance, three network models were designed where 1st, 2nd and 3rd network models are configured respectively with OSPF, EIGRP and a combination of EIGRP and OSPF. Evaluation of the proposed routing protocols was performed based on quantitative metrics such as Convergence Time, Jitter, End-to-End delay, Throughput and Packet Loss through the simulated network models. The evaluation results showed that EIGRP protocol provides a better performance than OSPF routing protocol for real time applications. By examining the results (convergence times in particular), the results of simulating the various scenarios identified the routing protocol with the best performance for a large, realistic and scalable network.