Summary: Simple System Solutions Consulting
School of Engineering
University of Guelph
Guelph, Ontario N1G 2W1
This project focuses on the problem of supporting efficient biometric
fingerprint-based user authentication in embedded systems. Biometric user
authentication is the process of verifying the identity of a user by distinctive
physiological characteristic such as fingerprint, voice or facial features. Biometric
approach is generally superior to conventional method of assumed surrogate identity (e.g.
passwords, access cards) when a higher level of security is required without typical
drawbacks of increased inconvenience to users. Fingerprints are the most widely used
biometric features for personal identification.
In the scope of this project fingerprint-based approach will be explored.
Implementing fingerprint authentication system requires realizing finger print scanning,
processing, storing and matching algorithms that are capable of supporting efficient
fingerprint-based user authentication in embedded system. Most automatic systems for
fingerprint comparison are based on identifying local discontinuities in the fingerprint
pattern, called minutiae . In order to reliably identify minutiae image must be