Forgery detection in dynamic signature verification by entailing principal component analysis
The critical analysis of the data glove-based signature identification and forgery detection system emphasizes the essentiality of noise-free signals for input. Lucid inputs are expected for the accuracy enhancement and performance. The raw signals that are captured using 14- and 5-electrode data gl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/5188/1/Forgery_Detection_in_Dynamic_Signature_Verification_by_Entailing_Principal_Component_Analysis.pdf |
| _version_ | 1825719051220942848 |
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| author | Sayeed, S. Andrews, S. Besar, R. Kiong, L.C. |
| author_facet | Sayeed, S. Andrews, S. Besar, R. Kiong, L.C. |
| author_sort | Sayeed, S. |
| collection | UM |
| description | The critical analysis of the data glove-based signature identification and forgery detection system emphasizes the essentiality of noise-free signals for input. Lucid inputs are expected for the accuracy enhancement and performance. The raw signals that are captured using 14- and 5-electrode data gloves for this purpose have a noisy and voluminous nature. Reduction of electrodes may reduce the volume but it may also reduce the efficiency of the system. The principal component analysis (PCA) technique has been used for this purpose to condense the volume and enrich the operational data by noise reduction without affecting the efficiency. The advantage of increased discernment in between the original and forged signatures using 14-electrode glove over 5-electrode glove has been discussed here and proved by experiments with many subjects. Calculation of the sum of mean squares of Euclidean distance has been used to project the advantage of our proposed method. 3.1 and 7.5 of equal error rates for 14 and 5 channels further reiterate the effectiveness of this technique. |
| first_indexed | 2024-03-06T05:13:44Z |
| format | Article |
| id | um.eprints-5188 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:13:44Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | um.eprints-51882013-03-21T01:56:12Z http://eprints.um.edu.my/5188/ Forgery detection in dynamic signature verification by entailing principal component analysis Sayeed, S. Andrews, S. Besar, R. Kiong, L.C. T Technology (General) The critical analysis of the data glove-based signature identification and forgery detection system emphasizes the essentiality of noise-free signals for input. Lucid inputs are expected for the accuracy enhancement and performance. The raw signals that are captured using 14- and 5-electrode data gloves for this purpose have a noisy and voluminous nature. Reduction of electrodes may reduce the volume but it may also reduce the efficiency of the system. The principal component analysis (PCA) technique has been used for this purpose to condense the volume and enrich the operational data by noise reduction without affecting the efficiency. The advantage of increased discernment in between the original and forged signatures using 14-electrode glove over 5-electrode glove has been discussed here and proved by experiments with many subjects. Calculation of the sum of mean squares of Euclidean distance has been used to project the advantage of our proposed method. 3.1 and 7.5 of equal error rates for 14 and 5 channels further reiterate the effectiveness of this technique. 2008 Article PeerReviewed application/pdf en http://eprints.um.edu.my/5188/1/Forgery_Detection_in_Dynamic_Signature_Verification_by_Entailing_Principal_Component_Analysis.pdf Sayeed, S. and Andrews, S. and Besar, R. and Kiong, L.C. (2008) Forgery detection in dynamic signature verification by entailing principal component analysis. Discrete Dynamics in Nature and Society, 2007. ISSN 1026-0226, http://emis.um.ac.ir/journals/HOA/DDNS/Volume2007/70756.pdf |
| spellingShingle | T Technology (General) Sayeed, S. Andrews, S. Besar, R. Kiong, L.C. Forgery detection in dynamic signature verification by entailing principal component analysis |
| title | Forgery detection in dynamic signature verification by entailing principal component analysis |
| title_full | Forgery detection in dynamic signature verification by entailing principal component analysis |
| title_fullStr | Forgery detection in dynamic signature verification by entailing principal component analysis |
| title_full_unstemmed | Forgery detection in dynamic signature verification by entailing principal component analysis |
| title_short | Forgery detection in dynamic signature verification by entailing principal component analysis |
| title_sort | forgery detection in dynamic signature verification by entailing principal component analysis |
| topic | T Technology (General) |
| url | http://eprints.um.edu.my/5188/1/Forgery_Detection_in_Dynamic_Signature_Verification_by_Entailing_Principal_Component_Analysis.pdf |
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