Rotation-invariant Reference Point Location Detection Using Complex Filtering for Fingerprint Matching

able to capture minutiae information in a fingerprint. However, this method’s accuracy is highly dependent on the algorithm’s ability to detect the reference point accurately. In this paper, a new algorithm is proposed to locate the reference point of the fingerprint based on the rotation-invariant reference point location. It is used alongside with the Filterbank-based fingerprint matching algorithm to locate the reference point of fingerprint. The optimum values for the number of bands (B), the number of sectors per band (k), and the number of Gabor filters to produce the best result is also calculated. The results prove to be conclusive.