This biometrics project focuses on fingerprint recognition and how such a system would be implemented. If implemented in our laboratory, this system would confirm or deny the identity of each individual attempting to gain access to the lab area with a given amount of precision. The scanner that will be used in this project is the Microsoft Fingerprint Reader. The primary problem in using this particular scanner comes from the security features Microsoft incorporates. The signal caring all the information from the fingerprint scan is encrypted, and the biggest challenge will come from deciphering this signal. Another major challenge of this project will be understanding the methods used to analyze the information from the scan. There are several different methods including Fourier Exponential Series and Principle Component Analysis, but cutting edge systems rely on information stored with wavelets to analyze and compare scans. If this project is a success, the lab will benefit from the security and understanding of modern fingerprint recognition.