Various Aspects of Minutia as a Fingerprint Feature
Biometrics is one of the biggest tendencies in human identification. The fingerprint is the most widely used biometric. Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly terminations or end points and bifurcations. Fingerprints are the graphical flow-like ridges present on human fingers. Finger ridge configurations do not change throughout the life of an individual except due to accidents such as bruises and cuts on the fingertips. This property makes fingerprints a very attractive biometric identifier.