T.Yuvaraja, A.Lakshminarayanan, P.Elayaraja, K.Shajudeen
In recent Biometric techniques, Fingerprint Recognition is that the most reliable and wide accepted technique. Native ridge characteristics known as trivialities points represent the fingerprints. The standard strategies haveused this trivialities info solely as some extent set and located out the matched points solely from trivialities sets. As a worldwide feature, orientation field provides strong discriminatory info apartfrom historically usedtrivialities points. So the planned technique describes Associ ate in Nursing Automatic Fingerprint Identification System (AFIS) which includes each native and international option of the fingerprints and operates in 3 stages: (1) trivialities matching (2) reconstructed orientation field matching and (3) Fusion matching. Within the 1st stage, true trivialities points’ are extracted from the input fingerprint image victimization Associate in Nursing improved version of the extraction technique and therefore the matching method is performed. Within the next stage, the fingerprint’s orientation field is reconstructed from the extracted trivialities and additional used within the matching stage. The ultimate stage employs a choice - level fusion matching theme which mixes the reconstructed orientation field matching with the minutiae-based matching. So by victimization this planned theme, performance of the system is increased and higher matching accuracy is obtained than that of victimization typical matching.
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