Offline signature verification through probabilistic neural network

Ooi Shih Yin; Andrew Teoh Beng Jin; Hiew Bee Yan; Pang Ying Han

Offline signature verification through probabilistic neural network

Ooi Shih Yin, Andrew Teoh Beng Jin, Hiew Bee Yan, Pang Ying Han

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we show the positive potential of verifying the offline handwritten signatures through discrete Radon transform (DRT), principle component analysis (PCA) and probabilistic neural network (PNN). Satisfactory results are obtained with 1.51%, 3.23%, and 13.07% equal error rate (EER) for random, casual, and skilled forgeries respectively on our independent database.

Original language	English
Title of host publication	18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings
Pages	31-38
Number of pages	8
Publication status	Published - 2010
Event	18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - Plzen, Czech Republic Duration: 2010 Feb 1 → 2010 Feb 4

Publication series

Name	18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings

Other

Other	18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010
Country/Territory	Czech Republic
City	Plzen
Period	10/2/1 → 10/2/4

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition

Cite this

Yin, O. S., Jin, A. T. B., Yan, H. B., & Han, P. Y. (2010). Offline signature verification through probabilistic neural network. In 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings (pp. 31-38). (18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings).

Yin, Ooi Shih ; Jin, Andrew Teoh Beng ; Yan, Hiew Bee et al. / Offline signature verification through probabilistic neural network. 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings. 2010. pp. 31-38 (18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings).

@inproceedings{83dbc91f54dc4f7b984b4f3477d134e0,

title = "Offline signature verification through probabilistic neural network",

abstract = "In this paper, we show the positive potential of verifying the offline handwritten signatures through discrete Radon transform (DRT), principle component analysis (PCA) and probabilistic neural network (PNN). Satisfactory results are obtained with 1.51%, 3.23%, and 13.07% equal error rate (EER) for random, casual, and skilled forgeries respectively on our independent database.",

author = "Yin, {Ooi Shih} and Jin, {Andrew Teoh Beng} and Yan, {Hiew Bee} and Han, {Pang Ying}",

year = "2010",

language = "English",

isbn = "9788086943886",

series = "18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings",

pages = "31--38",

booktitle = "18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings",

note = "18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 ; Conference date: 01-02-2010 Through 04-02-2010",

}

Yin, OS, Jin, ATB, Yan, HB & Han, PY 2010, Offline signature verification through probabilistic neural network. in 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings. 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings, pp. 31-38, 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010, Plzen, Czech Republic, 10/2/1.

Offline signature verification through probabilistic neural network. / Yin, Ooi Shih; Jin, Andrew Teoh Beng; Yan, Hiew Bee et al.

18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings. 2010. p. 31-38 (18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Offline signature verification through probabilistic neural network

AU - Yin, Ooi Shih

AU - Jin, Andrew Teoh Beng

AU - Yan, Hiew Bee

AU - Han, Pang Ying

PY - 2010

Y1 - 2010

N2 - In this paper, we show the positive potential of verifying the offline handwritten signatures through discrete Radon transform (DRT), principle component analysis (PCA) and probabilistic neural network (PNN). Satisfactory results are obtained with 1.51%, 3.23%, and 13.07% equal error rate (EER) for random, casual, and skilled forgeries respectively on our independent database.

AB - In this paper, we show the positive potential of verifying the offline handwritten signatures through discrete Radon transform (DRT), principle component analysis (PCA) and probabilistic neural network (PNN). Satisfactory results are obtained with 1.51%, 3.23%, and 13.07% equal error rate (EER) for random, casual, and skilled forgeries respectively on our independent database.

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M3 - Conference contribution

AN - SCOPUS:84862080588

SN - 9788086943886

T3 - 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings

SP - 31

EP - 38

BT - 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings

T2 - 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010

Y2 - 1 February 2010 through 4 February 2010

ER -

Yin OS, Jin ATB, Yan HB, Han PY. Offline signature verification through probabilistic neural network. In 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings. 2010. p. 31-38. (18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings).

Offline signature verification through probabilistic neural network

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