State-of-the-art in offline signature verification system

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

21 Citations (Scopus)

Abstract

Biometrics can be classified into two types Behavioral (signature verification, keystroke dynamics, etc.) and Physiological (iris characteristics, fingerprint, etc.). Handwritten signature is one of the first few biometrics used even before computers. Signature verification is widely studied and discussed using two approaches. On-line approach and offline approach. Offline systems are more applicable and easy to use in comparison with on-line systems in many parts of the world however it is considered more difficult than on-line verification due to the lack of dynamic information. This paper presents the State-of-the-Art about offline signature verification system; this biometric identification method that had more attraction in recent years because of its necessity for use in daily life routines and when the signature needs to be immediately verified like bank checks. In this paper, we present signature forgery types, features types and recent methods used for features extraction in signature verification systems and approaches used for verification in signature systems. Then we discuss these approaches and for which type of forgeries its suitable. Finally, we suggest new interesting ideas to be incorporated in the future.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
Pages59-64
Number of pages6
Volume1
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Biometrics
Online systems
Feature extraction

Keywords

  • features extraction
  • Offline signature
  • verification system

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

Al-Omari, Y. M., Sheikh Abdullah, S. N. H., & Omar, K. (2011). State-of-the-art in offline signature verification system. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 (Vol. 1, pp. 59-64). [5976912] https://doi.org/10.1109/ICPAIR.2011.5976912

State-of-the-art in offline signature verification system. / Al-Omari, Yazan M.; Sheikh Abdullah, Siti Norul Huda; Omar, Khairuddin.

Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. p. 59-64 5976912.

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

Al-Omari, YM, Sheikh Abdullah, SNH & Omar, K 2011, State-of-the-art in offline signature verification system. in Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. vol. 1, 5976912, pp. 59-64, 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/ICPAIR.2011.5976912
Al-Omari YM, Sheikh Abdullah SNH, Omar K. State-of-the-art in offline signature verification system. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1. 2011. p. 59-64. 5976912 https://doi.org/10.1109/ICPAIR.2011.5976912
Al-Omari, Yazan M. ; Sheikh Abdullah, Siti Norul Huda ; Omar, Khairuddin. / State-of-the-art in offline signature verification system. Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. pp. 59-64
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