AIRCC's International Journal of Computer Science and Information Technology

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Biometric matching involves finding similarity between fingerprint images.The accuracy and speed of the matching algorithm determines its effectives. This research aims at comparing two types of matching algorithms namely(a) matching using global orientation features and (b) matching using minutia triangulation.The comparison is done using accuracy, time and number of similar features. The experiment is conducted on a data sets of 100 candidates using four (4) fingerprints from each candidate. The data is sampled from a mass registration conducted by a reputable organization in Kenya. There search 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 accuracy of 0.142433 as compared to algorithm (b) with an average accuracy score of 0.004202.

Keywords

AFIS, ANN, Fingerprint Recognition, FMR, FAR.
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