Dynamic Handwritten Signature Verification Based on Statistical Quantization Mechanism
Online handwritten signature has been widely used for identity verification. However, it suffers from large intra-class variation problem as individual's signature may deviate from time to time due to variations in signing position, signature size, writing surface, and other factors. In additio...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/1934/ |
| _version_ | 1848789918188306432 |
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| author | Ong, Thian Song Khoh, Wee How Teoh, Andrew Beng Jin |
| author_facet | Ong, Thian Song Khoh, Wee How Teoh, Andrew Beng Jin |
| author_sort | Ong, Thian Song |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Online handwritten signature has been widely used for identity verification. However, it suffers from large intra-class variation problem as individual's signature may deviate from time to time due to variations in signing position, signature size, writing surface, and other factors. In addition, signatures are easier to forge than other biometrics and this leads to random and skilled forgeries issues. In this paper, we propose a novel Statistical Quantization Mechanism (SQM) to suppress the intra-class variation in signature features and thus discriminate the difference between genuine signature and its forgery. Experimental results show the proposed method is feasible in practice. |
| first_indexed | 2025-11-14T18:04:21Z |
| format | Conference or Workshop Item |
| id | mmu-1934 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:04:21Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-19342021-04-22T16:54:35Z http://shdl.mmu.edu.my/1934/ Dynamic Handwritten Signature Verification Based on Statistical Quantization Mechanism Ong, Thian Song Khoh, Wee How Teoh, Andrew Beng Jin T Technology (General) QA75.5-76.95 Electronic computers. Computer science Online handwritten signature has been widely used for identity verification. However, it suffers from large intra-class variation problem as individual's signature may deviate from time to time due to variations in signing position, signature size, writing surface, and other factors. In addition, signatures are easier to forge than other biometrics and this leads to random and skilled forgeries issues. In this paper, we propose a novel Statistical Quantization Mechanism (SQM) to suppress the intra-class variation in signature features and thus discriminate the difference between genuine signature and its forgery. Experimental results show the proposed method is feasible in practice. 2009-01 Conference or Workshop Item NonPeerReviewed Ong, Thian Song and Khoh, Wee How and Teoh, Andrew Beng Jin (2009) Dynamic Handwritten Signature Verification Based on Statistical Quantization Mechanism. In: International Conference on Computer Engineering and Technology, 22-24 January 2009, Singapore, Singapore. http://dx.doi.org/10.1109/ICCET.2009.128 doi:10.1109/ICCET.2009.128 doi:10.1109/ICCET.2009.128 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Ong, Thian Song Khoh, Wee How Teoh, Andrew Beng Jin Dynamic Handwritten Signature Verification Based on Statistical Quantization Mechanism |
| title | Dynamic Handwritten Signature Verification Based on Statistical Quantization Mechanism |
| title_full | Dynamic Handwritten Signature Verification Based on Statistical Quantization Mechanism |
| title_fullStr | Dynamic Handwritten Signature Verification Based on Statistical Quantization Mechanism |
| title_full_unstemmed | Dynamic Handwritten Signature Verification Based on Statistical Quantization Mechanism |
| title_short | Dynamic Handwritten Signature Verification Based on Statistical Quantization Mechanism |
| title_sort | dynamic handwritten signature verification based on statistical quantization mechanism |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/1934/ http://shdl.mmu.edu.my/1934/ http://shdl.mmu.edu.my/1934/ |