Signature verification using data glove with prominent sensors
In order to improve the security level, we have presented an innovative approach to hand signature verification using data glove. Data glove is a new dimension in the field of virtual-reality environments, initially designed to satisfy the stringent requirements of modern motion capture and animatio...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/326/ http://scholars.utp.edu.my/id/eprint/326/1/paper.pdf |
| _version_ | 1848658960319512576 |
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| author | N.S., Kamel S., Sayeed R., Besar |
| author_facet | N.S., Kamel S., Sayeed R., Besar |
| author_sort | N.S., Kamel |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | In order to improve the security level, we have presented an innovative approach to hand signature verification using data glove. Data glove is a new dimension in the field of virtual-reality environments, initially designed to satisfy the stringent requirements of modern motion capture and animation professionals. In this research, we try to shift the implementation of data glove from motion animation towards signature verification problem, making use of the offered multiple degrees of freedom for each finger and for the hand as well. Our proposed approach is tested in context of highly skilled forgeries with a large number of signature data sets and obtained a significant level of accuracy in signature verification with 2.22%, 2.5%, 2.8% and 2.37% of Equal Error Rates (EER) with 5-, 7-, 9-, and 14-sensor based data sets, respectively © 2009 IEEE.
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| first_indexed | 2025-11-13T07:22:50Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:326 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:22:50Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:3262017-01-19T08:25:52Z http://scholars.utp.edu.my/id/eprint/326/ Signature verification using data glove with prominent sensors N.S., Kamel S., Sayeed R., Besar TK Electrical engineering. Electronics Nuclear engineering In order to improve the security level, we have presented an innovative approach to hand signature verification using data glove. Data glove is a new dimension in the field of virtual-reality environments, initially designed to satisfy the stringent requirements of modern motion capture and animation professionals. In this research, we try to shift the implementation of data glove from motion animation towards signature verification problem, making use of the offered multiple degrees of freedom for each finger and for the hand as well. Our proposed approach is tested in context of highly skilled forgeries with a large number of signature data sets and obtained a significant level of accuracy in signature verification with 2.22%, 2.5%, 2.8% and 2.37% of Equal Error Rates (EER) with 5-, 7-, 9-, and 14-sensor based data sets, respectively © 2009 IEEE. 2009 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/326/1/paper.pdf N.S., Kamel and S., Sayeed and R., Besar (2009) Signature verification using data glove with prominent sensors. In: 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009, 25 July 2009 through 26 July 2009, Kuala Lumpur. http://www.scopus.com/inward/record.url?eid=2-s2.0-70449118151&partnerID=40&md5=1b002a8931eef8ed21d0acc0550577a0 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering N.S., Kamel S., Sayeed R., Besar Signature verification using data glove with prominent sensors |
| title | Signature verification using data glove with prominent sensors
|
| title_full | Signature verification using data glove with prominent sensors
|
| title_fullStr | Signature verification using data glove with prominent sensors
|
| title_full_unstemmed | Signature verification using data glove with prominent sensors
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| title_short | Signature verification using data glove with prominent sensors
|
| title_sort | signature verification using data glove with prominent sensors |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/326/ http://scholars.utp.edu.my/id/eprint/326/ http://scholars.utp.edu.my/id/eprint/326/1/paper.pdf |