Unique Analysis (Printed On: 30-Jan-2024 )
DOI : https://dx.doi.org/10.54364/AAIML.2024.41107
diptadip maiti, Madhuchhanda Basak and debashis das
Adv. Artif. Intell. Mach. Study., 4 (1):1847–1865
diptadip maiti : TECHNO INDIA UNIVERSITY
Madhuchhanda Basak : techno india college
debashis das : techno india college
Fast growth of automation within the everyday life exercise mark up the necessity of securing bio-metric template and the privateness of rightful proprietor. Trivialities primarily based matching is the preferred within the fingerprint recognition system, which drastically suffers from non-linear distortion like translation and rotation. To cope with linear distortion many of the approach proposed within the literature relies upon upon a reference or singular level. The paper proposes a binary template era approach which apply an unsupervised clustering approach with out fixing the no of cluster. As an alternative of place and orientation of the trivialities factors the cardinality of the clusters are saved and transformed into binary template. No spatial sample details about the fingerprint is saved within the template to guard it from spoofing and data leakage. By the assistance of modified Radial Foundation Perform Community(mRBFN) with sturdy and environment friendly matching approach the generated templates are matched for authentication. We use MCYT dataset for coaching the mRBFN. The effectivity of the proposed scheme is evaluated on FVC 2000, FVC 2002 and FVC 2004 dataset.
Article Historical past: Acquired on: 25-Nov-23, Accepted on: 23-Jan-24, Printed on: 30-Jan-24
Corresponding Creator: diptadip maiti
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