Abstract:

Because of the low accuracy and efficiency of the existing fingerprint matching
algorithms,and the high complexity of them,fingerprint matching algorithm based on fuzzy
closedegree is proposed here. It takes the turning point,bifurcation point,the number of
ridge lines between two points in fingerprint images and so on as the feature of the
object,computes the fuzzy closedegree,and compares the results and threshold V. Then we
judge whether the fingerprint matches the template fingerprint. The results show that it
improves the accuracy and efficiency of the fingerprint matching algorithm,and also lowers
the complexity of the algorithm. It is slightly influenced by the factor of environment,such
as the shift and rotation of the fingerprint. It provides a new method for improving the
accuracy of fingerprint matching.

Key words: identification of fingerprint;fuzzy similarity;fingerprint matching;fingerprint feature points