Offline Signature Verification through Biometric Strengthening
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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2007
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| Online Access: | http://shdl.mmu.edu.my/3183/ |
| _version_ | 1848790257052418048 |
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| author | Ooi, Shih-Yin Teoh, Andrew Beng-Jin Ong, Thian-Songa |
| author_facet | Ooi, Shih-Yin Teoh, Andrew Beng-Jin Ong, Thian-Songa |
| author_sort | Ooi, Shih-Yin |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:09:44Z |
| format | Conference or Workshop Item |
| id | mmu-3183 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:09:44Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-31832011-10-07T06:28:29Z http://shdl.mmu.edu.my/3183/ Offline Signature Verification through Biometric Strengthening Ooi, Shih-Yin Teoh, Andrew Beng-Jin Ong, Thian-Songa T Technology (General) QA75.5-76.95 Electronic computers. Computer science 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. 2007-06 Conference or Workshop Item NonPeerReviewed Ooi, Shih-Yin and Teoh, Andrew Beng-Jin and Ong, Thian-Songa (2007) Offline Signature Verification through Biometric Strengthening. In: 5th IEEE Workshop on Automatic Identification Advanced Technologies , 07-08 JUN 2007 , Alghero, ITALY. http://dx.doi.org/10.1109/AUTOID.2007.380624 doi:10.1109/AUTOID.2007.380624 doi:10.1109/AUTOID.2007.380624 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Ooi, Shih-Yin Teoh, Andrew Beng-Jin Ong, Thian-Songa Offline Signature Verification through Biometric Strengthening |
| title | Offline Signature Verification through Biometric Strengthening |
| title_full | Offline Signature Verification through Biometric Strengthening |
| title_fullStr | Offline Signature Verification through Biometric Strengthening |
| title_full_unstemmed | Offline Signature Verification through Biometric Strengthening |
| title_short | Offline Signature Verification through Biometric Strengthening |
| title_sort | offline signature verification through biometric strengthening |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/3183/ http://shdl.mmu.edu.my/3183/ http://shdl.mmu.edu.my/3183/ |