Handwritten signature verification

Online verification using a fuzzy inference system

Md Jahid Faruki, Ng Zhi Lun, Syed Khaleel Ahmed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Biometric features posses the significant advantage of being difficult to lose, forget or duplicate. Hence, a FIS-based method is used for signature verification. FIS is well suited for this task due to the similarity between an individual signatures with subtle differences between each signature sample. Signature samples are collected using a tablet PC. The individuals draw their signatures usinga pressure sensitive pen on the tablet. Eight dynamic features are extracted from the signature data. These eight features are then fuzzified for training of a FIS. The system is then used to determine whether the signature is genuine or forged. A False Acceptance Rate (FAR) of 10.67% and a False Rejection Rate (FRR) of 8.0% demonstrate the promise of this system.

Original languageEnglish
Title of host publicationIEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages232-237
Number of pages6
ISBN (Electronic)9781479989966
DOIs
Publication statusPublished - 17 Feb 2016
Event4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Kuala Lumpur, Malaysia
Duration: 19 Oct 201521 Oct 2015

Publication series

NameIEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings

Other

Other4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015
CountryMalaysia
CityKuala Lumpur
Period19/10/1521/10/15

Fingerprint

Fuzzy inference
Biometrics

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Signal Processing

Cite this

Faruki, M. J., Lun, N. Z., & Khaleel Ahmed, S. (2016). Handwritten signature verification: Online verification using a fuzzy inference system. In IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings (pp. 232-237). [7412195] (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIPA.2015.7412195
Faruki, Md Jahid ; Lun, Ng Zhi ; Khaleel Ahmed, Syed. / Handwritten signature verification : Online verification using a fuzzy inference system. IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 232-237 (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings).
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title = "Handwritten signature verification: Online verification using a fuzzy inference system",
abstract = "Biometric features posses the significant advantage of being difficult to lose, forget or duplicate. Hence, a FIS-based method is used for signature verification. FIS is well suited for this task due to the similarity between an individual signatures with subtle differences between each signature sample. Signature samples are collected using a tablet PC. The individuals draw their signatures usinga pressure sensitive pen on the tablet. Eight dynamic features are extracted from the signature data. These eight features are then fuzzified for training of a FIS. The system is then used to determine whether the signature is genuine or forged. A False Acceptance Rate (FAR) of 10.67{\%} and a False Rejection Rate (FRR) of 8.0{\%} demonstrate the promise of this system.",
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Faruki, MJ, Lun, NZ & Khaleel Ahmed, S 2016, Handwritten signature verification: Online verification using a fuzzy inference system. in IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings., 7412195, IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 232-237, 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015, Kuala Lumpur, Malaysia, 19/10/15. https://doi.org/10.1109/ICSIPA.2015.7412195

Handwritten signature verification : Online verification using a fuzzy inference system. / Faruki, Md Jahid; Lun, Ng Zhi; Khaleel Ahmed, Syed.

IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 232-237 7412195 (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Faruki MJ, Lun NZ, Khaleel Ahmed S. Handwritten signature verification: Online verification using a fuzzy inference system. In IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 232-237. 7412195. (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings). https://doi.org/10.1109/ICSIPA.2015.7412195