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https://hdl.handle.net/10356/3921
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yue, Andrew Kwok Wai. | en_US |
dc.date.accessioned | 2008-09-17T09:40:25Z | - |
dc.date.available | 2008-09-17T09:40:25Z | - |
dc.date.copyright | 2002 | en_US |
dc.date.issued | 2002 | - |
dc.identifier.uri | http://hdl.handle.net/10356/3921 | - |
dc.description.abstract | Automatic online signature verification is an intriguing intellectual challenge with many practical applications. Many approaches to automatic signature verification have been proposed in the past several years. After careful investigation of the problem, a new automatic online signature verification system (AOSVS) is proposed in the thesis. | en_US |
dc.rights | Nanyang Technological University | en_US |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing | - |
dc.title | On-line automatic signature verification : a computational intelligence approach | en_US |
dc.type | Thesis | en_US |
dc.contributor.supervisor | Wijesoma, Wijerupage Sardha | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Master of Engineering | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | EEE Theses |
Files in This Item:
File | Description | Size | Format | |
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EEE-THESES_1735.pdf Restricted Access | 5.56 MB | Adobe PDF | View/Open |
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