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Neural Computing and Applications
Published in: Neural Computing and Applications 5/2015

01-07-2015 | Original Article

Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling

Authors: Muhammad Imran Razzak, Bandar Alhaqbani

Published in: Neural Computing and Applications | Issue 5/2015

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Abstract

Signature recognition is one of the most important biometrics authentication methods, is an integral part of current business activities, and is considered a non-invasive and non-threatening process. This paper presents an online signature verification system using multi-section VQ. We have used multi-section codebooks for signature recognition by splitting the signature into several sections with every section having its own codebook. The final result is based on the score level fusion of the results of each codebook. Moreover, multilevel fusion is performed in this trial to improve the accuracy. We have used SVC database that contains skilled forgery samples. Our experimental results on SVC database have shown 100 % accuracy with 0.003 EER.
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Literature
1.
Faundez-Zanuy M (2007) Online signature recognition based on VQ-DTW. Pattern Recognit 40(03):981–992MATHCrossRef
2.
Gaspar JMP, Zanuy MF, Vicaracho C (2011) Fast online signature recognition based on VQ with time modeling. Eng Appl Artif Intell 24:368–377CrossRef
3.
Zanuy MF, Gaspar JMP (2011) Efficient on-line signature recognition based on multi-section vector quantization. Pattern Anal Appl 14:37–45CrossRef
4.
Dolfing H, Aarts E, van Oosterhout JJ (1998) On-line signature verification with Hidden Markov models. ICPR
5.
Al-Mayyan W, Own HS, Zedan H (2011) Rough set approach to online signature identification. Digit Signal Proc 21:477–485CrossRef
6.
Yeung D, Chang H, Xiong Y, George S, Kashi R, Matsumoto T, Rigoll G (2004) SVC2004: first international signature verification competition. Lecture notes on computer science, vol 3072, Springer, pp 16–22
7.
Van Bao L, Garcia-Salicetti S, Dorizzi B (2007) On using the Viterbi path along with HMM likelihood information for online signature verification. IEEE Trans Syst Man Cybern B 37:1237–1247CrossRef
8.
Gruber C, Gruber T, Krinninger S, Sick B (2010) Online signature verification with support vector machines based on LCSS kernel functions. IEEE Trans Syst Man Cybern B 40(4):1088–1100CrossRef
9.
Faundez-Zanuy M (2007) On-line signature recognition based on VQ-DTW. Pattern Recognit 40(3):981–992MATHCrossRef
10.
Nanni L, Lumini A (2005) Ensemble of Parzen window classifiers for on-line signature verification. Neurocomputing 68:217–224CrossRef
11.
Nanni L (2006) Experimental comparison of one-class classifiers for online signature verification. Neurocomputing 69(7–9):869–873CrossRef
12.
Ketabdar H, Richiardi J, Drygajlo A (2005) Global feature selection for on-line signature verification. In: Proceedings of the 12th international graphonomics society conference
13.
Hua Quan Z, Shuang Huang D, Lei Xia X, Lyu M, Lok T (2006) Spectrum analysis based on windows with variable widths for online signature verification. In: International conference on pattern recognition (ICPR 2006), vol. 2, pp 1122–1125
14.
Garcia-Salicetti S, Fierrez-Aguilar J, Alonso-Fernandez F, Vielhauer C, Guest R, Allano L, Trung TD, Scheidat T, Van BL, Dittmann J, Dorizzi B, Ortega- Garcia J, Gonzalez-Rodriguez J, di Castiglione MB, Fairhurst M (2007) Biosecure reference systems for on-line signature verification: a study of complementarity. Ann Telecommun Spec Issue Multimodal Biom 62(1–2):36–61
15.
Vivaracho-Pascual C, Faundez-Zanuy M, Pascual JM (2009) An efficient low cost approach for on-line signature recognition based on length normalization and fractional distances. Pattern Recognit 42(1):183–193MATHCrossRef
16.
Rigoll G, Kosmala A (1998) A systematic comparison between on-line and off- line methods for signature verification with Hidden Markov models. Proc Int Conf Pattern Recognit 2:1755–1757
17.
Fierrez-Aguilar J, Nanni L, Lopez-Peñalba J, Ortega-Garcia J, Maltoni D (2005) An on-line signature verification system based on fusion of local and global information. In: Proceedings of the 5th international conference on audio- and video-based biometric person authentication (AVBPA'05)
Metadata
Title
Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling
Authors
Muhammad Imran Razzak
Bandar Alhaqbani
Publication date
01-07-2015
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 5/2015
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-014-1779-6

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