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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15674
Title: An efficient approach for recognition and verification of on-line signatures using PSO
Authors: Dutta S.
Saini R.
Kumar P.
Pratim Roy, Partha
Published in: Proceedings of 4th Asian Conference on Pattern Recognition, ACPR 2017
Abstract: Signature recognition and verification have been widely used for user authentication. A person is allowed to proceed further only when his/her signature matches with his/her model or template(s) stored in the database. In this paper, a robust approach for online signature recognition and verification has been proposed. Signatures have been segmented into uniform segments and features are collected from each segment to capture local dynamic properties. For signature recognition task, Random Forest is used as the classifier and particle swarm optimization(PSO) has been used to select the best feature-set and model parameter. The feature set and parameters selected from recognition task have been used in training binary random forest classifiers for user verification. Signature verification has been performed in two modes i.e. using global threshold and local threshold and corresponding results have been reported. In our experiment, we have used two public datasets (MCYT-100 and SVC-2004) and have achieved over 99% recognition rate and encouraging Equal Error Rate (EER) for verification on both the datasets. © 2017 IEEE.
Citation: Proceedings of 4th Asian Conference on Pattern Recognition, ACPR 2017, (2018), 888- 893
URI: https://doi.org/10.1109/ACPR.2017.115
http://repository.iitr.ac.in/handle/123456789/15674
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: EER
Local Dynamics
MCYT 100
Online Signatures
PSO
Random Forest
Recognition and Verification
SVC 2004
ISBN: 9.78154E+12
Author Scopus IDs: 57194562842
57190288840
57212043589
56880478500
Author Affiliations: Dutta, S., Department of Computer Science and Engineering, Jadavpur University, Kolkata, India
Saini, R., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee India, Roorkee, India
Kumar, P., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee India, Roorkee, India
Roy, P.P., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee India, Roorkee, India
Appears in Collections:Conference Publications [CS]

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