Advanced Biometric Systems Utilizing Neural Networks in Identity Evaluation

Abstract

Neural networks have become a staple of today's day and age. Its data classification usage is very pronounced in biometrics. Its use can be seen notably in the fingerprint, iris, or facial recognition biometrics. However, the fact is that neural networks are intrinsic to biometrics in their authentication capabilities. This is not to say that every biometric system must employ these methods; rather that they are applicable to any biometric method. For this reason, in this paper, we will expand upon the presented biometric methods. In this paper, we will be presenting more advanced techniques such as finger vein and retina recognition; and alternative methods such as ECG and odor biometrics. We will converge on showcasing these methods as well as exhibiting their current usage in today's climate.