Touchless Fingerprint Biometrics

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Touchless Fingerprint Biometrics

A quality assessment technique for touchless fingerprint images should consider

a set of non-idealities and aspects that influence the quality of the captured samples.

Different shades can be present on the fingertip due to the environmental light and

the convex shape of the finger; these shades are considered noise effects. In addition,

errors in the focus of the lenses and the relative movements of the subject in front

of the camera can introduce blurring effects. The acquired images are also affected

by the noise introduced by the acquisition sensor and electronic components. The

application context and user ability also influence sample quality. In addition, finger

movement can cause the following four primary non-ideal ...