International Journal of Engineering and Technology

Security is a major issue as far as the use of computers is concerned. As computer technology is becoming more complex the problem of security is also becoming complex. The ingenuity of the human brain is such that for every innovation which has positive use there is also a parallel innovation in circumventing the positiveness of that use and it comes up with an antidote to that positivity. The problem of hackers and with the evolution of the idea of cloud computing security has become an important issue. In this paper we are primarily concerned with the problem of access control and authentication. As everyone knows biometrics is used for authentication in computer science. Biometrics identifies physical characteristics of the human beings that are distinctive to each individual and are easily measured. Among other things the popular physiological feature that has stood the test of time is finger print matching which is mostly used in forensic science. In recent years ear matching is also considered a possible physiological feature for authentication and identification of individuals. Now the question is how fool proof are these? In this paper we attempt to review recent literatures on these and applying Hybrid CORDIC Trigonometric Vector Rotation Mode algorithm and taking a pair of index fingers and a pair of ears as test cases we found better results in accuracy.