Partial fingerprint matching based on SIFT Features
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 4
Abstract
Fingerprints are being extensively used for person identification in a number of commercial, civil, and forensic applications. The current Fingerprint matching technology is quite mature for matching full prints, matching partial fingerprints still needs lots of improvement. Most of the current fingerprint identification systems utilize features that are based on minutiae points and ridge patterns. The major challenges faced in partial fingerprint matching are the absence of ufficient minutiae features and other structures such as core and delta. However, this technology suffers from the problem of handling incomplete prints and often discards any partial ingerprints obtained. Recent research has begun to delve into the roblems of latent or partial fingerprints. In this paper we resent a novel approach for partial fingerprint matching cheme ased on IFT (Scale Invariant Feature Transform) eatures and tching is achieved using a modified point matching rocess. Using Neurotechnology database, we demonstrate that the proposed method exhibits an improved performance when matching full print against partial print
Authors and Affiliations
Ms. S. Malathi , Dr. C. Meena
Keywords
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