期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2016
卷号：8
期号：6
页码：59
语种：English
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Biometric matching involves finding similarity between finger
print images.The accuracy and speed of the
matching algorithmdetermines its effectives. This researchaim
s at comparing two types of matching
algorithms namely(a) matching using global orientation featur
es and (b) matching using minutia
triangulation.The comparison is done using accuracy, time a
nd number of similar features. The experiment
is conducted on a datasets of 100 candidates using four (4) fingerprints f
rom each candidate. The data is
sampled from a mass registration conducted by a reputable organizati
on in Kenya.Theresearch reveals that
fingerprint matching based on algorithm (b) performs better in
speed with an average of 38.32 milliseconds
as compared to matching based on algorithm (a) with an average
of 563.76 milliseconds. On
accuracy,algorithm(a) performs better with an average accurac
y of 0.142433 as compared to algorithm (b)
with an average accuracy score of 0.004202.
