Department of Computer Science and Electrical Engineering
Fingerprint Recognition
Anthony Lum
Abstract:
Finger recognition has the potential to replace locks, keys, access cards other personal identification devices. This thesis implements a new approach to finding key identifying features. These features were compared with features from other fingerprints in an attempt to distinguish between matching and unique pairs.
The features were extracted correctly, however, they did not possess enough information to positively identify a match.
The addition of future constraints is proposed for future investigation.Complete thesis:
fingerprint recognition
Additional material:
code ,
conference paper
About the Author
Dept of Computer Science and Electrical
Engineering / antlum@excite.com
last mod 14/10/99