Automatic online signature verification: A prototype using neural networks

Syed Khaleel Ahmed; Agileswari Ramasamy; Anis Salwa Mohd Khairuddin; Jamaludin Omar

doi:10.1109/TENCON.2009.5395951

Automatic online signature verification: A prototype using neural networks

Syed Khaleel Ahmed, Agileswari Ramasamy, Anis Salwa Mohd Khairuddin, Jamaludin Omar

Department of Electronics & Communication Engineering

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

2 Citations (Scopus)

Abstract

Signature verification is the process used to recognize an individual's handwritten signature to prevent fraud. In this paper pressure at the pen-tip together with the x, and y coordinates of the signature are measured and features extracted from these are used to verify the signature. A pressure pad was used to obtain signature samples. A signature verification system using SOM neural network was designed in MATLAB to verify the signatures. Results obtained using a prototype system are encouraging. The attractive features of this system are its low cost, low intrusion, good performance and use of an acceptable and natural biometric (the signature).

Original language	English
Title of host publication	TENCON 2009 - 2009 IEEE Region 10 Conference
DOIs	https://doi.org/10.1109/TENCON.2009.5395951
Publication status	Published - 01 Dec 2009
Event	2009 IEEE Region 10 Conference, TENCON 2009 - Singapore, Singapore Duration: 23 Nov 2009 → 26 Nov 2009

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

Other	2009 IEEE Region 10 Conference, TENCON 2009
Country	Singapore
City	Singapore
Period	23/11/09 → 26/11/09

Fingerprint

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

Cite this

Khaleel Ahmed, S., Ramasamy, A., Khairuddin, A. S. M., & Omar, J. (2009). Automatic online signature verification: A prototype using neural networks. In TENCON 2009 - 2009 IEEE Region 10 Conference [5395951] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2009.5395951

@inproceedings{a21a4953199140d4bd12fcf60e86621a,

title = "Automatic online signature verification: A prototype using neural networks",

abstract = "Signature verification is the process used to recognize an individual's handwritten signature to prevent fraud. In this paper pressure at the pen-tip together with the x, and y coordinates of the signature are measured and features extracted from these are used to verify the signature. A pressure pad was used to obtain signature samples. A signature verification system using SOM neural network was designed in MATLAB to verify the signatures. Results obtained using a prototype system are encouraging. The attractive features of this system are its low cost, low intrusion, good performance and use of an acceptable and natural biometric (the signature).",

author = "{Khaleel Ahmed}, Syed and Agileswari Ramasamy and Khairuddin, {Anis Salwa Mohd} and Jamaludin Omar",

year = "2009",

month = "12",

day = "1",

doi = "10.1109/TENCON.2009.5395951",

language = "English",

isbn = "9781424445479",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

booktitle = "TENCON 2009 - 2009 IEEE Region 10 Conference",

note = "2009 IEEE Region 10 Conference, TENCON 2009 ; Conference date: 23-11-2009 Through 26-11-2009",

}

Khaleel Ahmed, S , Ramasamy, A, Khairuddin, ASM & Omar, J 2009, Automatic online signature verification: A prototype using neural networks. in TENCON 2009 - 2009 IEEE Region 10 Conference., 5395951, IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2009 IEEE Region 10 Conference, TENCON 2009, Singapore, Singapore, 23/11/09. https://doi.org/10.1109/TENCON.2009.5395951

Automatic online signature verification : A prototype using neural networks. / Khaleel Ahmed, Syed ; Ramasamy, Agileswari; Khairuddin, Anis Salwa Mohd; Omar, Jamaludin.

TENCON 2009 - 2009 IEEE Region 10 Conference. 2009. 5395951 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

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

TY - GEN

T1 - Automatic online signature verification

T2 - 2009 IEEE Region 10 Conference, TENCON 2009

AU - Khaleel Ahmed, Syed

AU - Ramasamy, Agileswari

AU - Khairuddin, Anis Salwa Mohd

AU - Omar, Jamaludin

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Signature verification is the process used to recognize an individual's handwritten signature to prevent fraud. In this paper pressure at the pen-tip together with the x, and y coordinates of the signature are measured and features extracted from these are used to verify the signature. A pressure pad was used to obtain signature samples. A signature verification system using SOM neural network was designed in MATLAB to verify the signatures. Results obtained using a prototype system are encouraging. The attractive features of this system are its low cost, low intrusion, good performance and use of an acceptable and natural biometric (the signature).

AB - Signature verification is the process used to recognize an individual's handwritten signature to prevent fraud. In this paper pressure at the pen-tip together with the x, and y coordinates of the signature are measured and features extracted from these are used to verify the signature. A pressure pad was used to obtain signature samples. A signature verification system using SOM neural network was designed in MATLAB to verify the signatures. Results obtained using a prototype system are encouraging. The attractive features of this system are its low cost, low intrusion, good performance and use of an acceptable and natural biometric (the signature).

UR - http://www.scopus.com/inward/record.url?scp=77951133463&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77951133463&partnerID=8YFLogxK

U2 - 10.1109/TENCON.2009.5395951

DO - 10.1109/TENCON.2009.5395951

M3 - Conference contribution

AN - SCOPUS:77951133463

SN - 9781424445479

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

BT - TENCON 2009 - 2009 IEEE Region 10 Conference

Y2 - 23 November 2009 through 26 November 2009

ER -

Access to Document

10.1109/TENCON.2009.5395951