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Reseach Article

Cascaded Transforms for Signature Recognition with Image Registration

by M. Mani Roja, Sudhir Sawarkar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 2
Year of Publication: 2012
Authors: M. Mani Roja, Sudhir Sawarkar
10.5120/4795-7046

M. Mani Roja, Sudhir Sawarkar . Cascaded Transforms for Signature Recognition with Image Registration. International Journal of Computer Applications. 39, 2 ( February 2012), 38-43. DOI=10.5120/4795-7046

@article{ 10.5120/4795-7046,
author = { M. Mani Roja, Sudhir Sawarkar },
title = { Cascaded Transforms for Signature Recognition with Image Registration },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 2 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number2/4795-7046/ },
doi = { 10.5120/4795-7046 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:25:25.401491+05:30
%A M. Mani Roja
%A Sudhir Sawarkar
%T Cascaded Transforms for Signature Recognition with Image Registration
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 2
%P 38-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometrics methods of human identification have gained much attention recently, mainly because they easily deal with most problems of traditional identification, since users are identified by who they are, not by something they have to remember or carry with them. This paper attempts to improve the performance of signature based authentication system by cascading orthogonal transforms. The signatures are acquired using WACOM digital pen tablet and then features are extracted. Our experimental results on the image data set from 75 users, confirm the advantages of our cascaded approach over unimodal approaches. It should be noted that a distinct advantage of the proposed system is that it does not require multiple signature samples for training.

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Index Terms

Computer Science
Information Sciences

Keywords

Discrete wavelet transform Discrete Cosine Transform Discrete Sine Transform