Offline signature verification through biometric strengthening

Shin Yin Ooi, Andrew Beng Jin Teoh, Thian Song Ong

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

5 Citations (Scopus)

Abstract

The offline signature verification rests on the hypothesis that each writer has similarity among signature samples, with small distortion and scale variability, In this paper we propose a novel method to increase the accuracy in biometric matching which we term biometric strengthening. We reported 1.1% equal error rate (EER) over the independent database on random forgery, while casual forgery on EER 1.2% and lastly skilled forgery on EER 2.1 % along the paper. Our experiments show that biometric strengthening reduces the false acceptance rate (FAR) and false rejection rate (FRR) by increasing the disparity between the features of the two persons, which tends to tolerate more intrapersonal variance which can reduce the FRR without increasing the probability of false accepts.

Original languageEnglish
Title of host publication2007 IEEE Workshop on Automatic Identification Advanced Technologies - Proceedings
Pages226-231
Number of pages6
DOIs
Publication statusPublished - 2007 Oct 2
Event2007 IEEE Workshop on Automatic Identification Advanced Technologies, AUTOID 2007 - Alghero, Italy
Duration: 2007 Jun 72007 Jun 8

Publication series

Name2007 IEEE Workshop on Automatic Identification Advanced Technologies - Proceedings

Other

Other2007 IEEE Workshop on Automatic Identification Advanced Technologies, AUTOID 2007
CountryItaly
CityAlghero
Period07/6/707/6/8

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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    Ooi, S. Y., Teoh, A. B. J., & Ong, T. S. (2007). Offline signature verification through biometric strengthening. In 2007 IEEE Workshop on Automatic Identification Advanced Technologies - Proceedings (pp. 226-231). [4263245] (2007 IEEE Workshop on Automatic Identification Advanced Technologies - Proceedings). https://doi.org/10.1109/AUTOID.2007.380624