ALGORITHM AND SYSTEM FOR IDENTIFYING A PERSON BY BIOMETRIC PARAMETERS (FINGERPRINT IDENTIFICATION)
Abstract:
Fingerprints are the most widely deployed form of biometric identification. No two individuals share the same
fingerprint because they have unique biometric identifiers. This paper presents an efficient fingerprint verification algorithm
which improves matching accuracy. Fingerprint images get degraded and corrupted due to variations in skin and impression
conditions. Thus, image enhancement techniques are employed prior to singular point detection and minutiae extraction.
Singular point is the point of maximum curvature. It is determined by the normal’s of each fingerprint ridge, and then
following them inward towards the centre. The local ridge features known as minutiae is extracted using cross-number
method to find ridge endings and ridge bifurcations. The proposed algorithm chooses a radius and draws a circle with core
point as centre, making fingerprint images rotationally invariant and uniform. The radius can be varied according to the
accuracy depending on the particular application. Morphological techniques such as clean, spur and H-break is employed to
remove noise, followed by removing spurious minutiae. Templates are created based on feature vector extraction and
databases are made for verification and identification for the fingerprint images taken from Fingerprint Verification
Competition (FVC2002). Minimum Euclidean distance is calculated between saved template and the test fingerprint image
template and compared with the set threshold for matching decision. For the performance evaluation of the proposed
algorithm various measures, equal error rate (EER), D at EER, accuracy and threshold are evaluated and plotted. The
measures demonstrate that the proposed algorithm is more effective and robust
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