Fingerprint re-alignment is an important aspect in the subject of fingerprint biometrics because a fingerprint that has been rotated, voluntarily or involuntarily, can have negative impact on the functionality of an automated fingerprint recognition system. A fingerprint recognition system that does not attempt to re-align an involuntarily rotated fingerprint can create opportunities for falsely rejecting a legitimate subject. It can also create opportunities for security attacks where an illegitimate subject voluntarily rotates their fingerprint, as a way of tempering with the functionality of the recognition system. This manuscript presents a new fingerprint re-alignment solution that uses the True Fingerprint Center Point (TFCP) as a reference, where the TFCP is introduced as the actual center of the fingerprint image foreground. Using the TFCP as a reference point proves – in general – to be fast, independent, and efficient for all types of fingerprints. It, in particular, is useful when dealing with the type of fingerprints that belong to the Plain Arch (PA) fingerprint class.
Reference:
Msiza, IS, Leke-Betechuoh, B and Malumedzha, T. 2011. Fingerprint re-alignment: a solution based on the true fingerprint center point. IEEE International Conference on Machine Learning and Computing (ICMLC 2011), Singapore, 26-28 February 2011
Msiza, I., Leke-Betechuoh, B., & Malumedzha, T. (2011). Fingerprint re-alignment: a solution based on the true fingerprint center point. IEEE. http://hdl.handle.net/10204/5314
Msiza, IS, B Leke-Betechuoh, and T Malumedzha. "Fingerprint re-alignment: a solution based on the true fingerprint center point." (2011): http://hdl.handle.net/10204/5314
Msiza I, Leke-Betechuoh B, Malumedzha T, Fingerprint re-alignment: a solution based on the true fingerprint center point; IEEE; 2011. http://hdl.handle.net/10204/5314 .
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