Signature Recognition using 2D Discrete Wavelet Transforms

Signature recognition is one of the most secure techniques used for person identification. Wavelet transforms possess an extra time localization property over Fourier transforms, despite both are frequency localized. That is why; it is more useful to analyze the one dimensional and two dimensional s...

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Bibliographic Details
Published in:International journal of innovative technology and exploring engineering 2020-05, Vol.9 (7), p.528-532
Main Authors: Kumari, Meenu, Kumar, Anil, Saxena, Manish
Format: Article
Language:English
Online Access:Get full text
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Summary:Signature recognition is one of the most secure techniques used for person identification. Wavelet transforms possess an extra time localization property over Fourier transforms, despite both are frequency localized. That is why; it is more useful to analyze the one dimensional and two dimensional signals both. First of all the features of a signature are extracted and then matching is performed. We have proposed feature extraction technique using discrete wavelet transforms level-1 and matching of signatures are performed using some statistical parameters of discrete wavelet coefficients using matching percentage, sum of absolute difference, mean square error and city block distance.
ISSN:2278-3075
2278-3075
DOI:10.35940/ijitee.F4399.059720