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|Title: ||Fingerprint matching algorithm|
|Authors: ||Nazir, Usman|
|Department: ||Department of Computer Science|
|Issue Date: ||2004|
|Supervisor: ||Dr. Choy Marian. First Reader: Dr. Wong H S. Second Reader: Prof. Chan Y K|
|Abstract: ||This project report explains and investigates a non-core based fingerprint
minutiae matching algorithm and the classification of the fingerprints into different
Fingerprint matching is the decision making part of a fingerprint identification
system and thus it must be reliable and efficient enough to be used in a real-time
application. A non-core based fingerprint minutiae matching algorithm is used in
this project because it eliminates the strenuous process of aligning the
fingerprints to be matched, does not run the risk of selecting a false core point
and carries the potential to cater for almost all the inconsistencies in the
representation of the fingerprint data. The algorithm devised in this project takes
care of most of these inconsistencies: translation, rotation, missing points,
additional points and noise. The algorithm is reliable and the computational
complexity of the algorithm is O(n2k) that makes it ideal to be used in real-time
fingerprint matching applications.
Matching a fingerprint takes time. Therefore, the less the number of fingerprints
there are to be compared for a match the faster the application would be.
Classification is used to divide the fingerprint database into subsets of categories
such that when matching, only a subset of the fingerprint database is used for
comparison thus making the algorithm faster. There are three levels of
classification devised in this report: Physical, Finger type and Fingerprint level.
The implementation of the algorithm investigated in this report only uses the
Fingerprint level of classification and shows promising results of the practicality of
|Appears in Collections:||Computer Science - Undergraduate Final Year Projects|
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