Stroke-to-stroke matching in on-line signature verification
On-line Signature Verification is a field of verifying the time series signature data that normally obtained from the tablet-based device. Unlike common signature image, the on-line signature image data consists of points that are arranged in sequence based on time. The aim of this research is to de...
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2010
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my-utm-ep.110632017-09-26T07:29:05Z Stroke-to-stroke matching in on-line signature verification 2010-03 Ahmad Jaini, Azhar QA75 Electronic computers. Computer science On-line Signature Verification is a field of verifying the time series signature data that normally obtained from the tablet-based device. Unlike common signature image, the on-line signature image data consists of points that are arranged in sequence based on time. The aim of this research is to develop a new approach to map the strokes in both test and reference signatures as well as to verify the originality of the test signatures. Current methods make use of the DTW algorithm and its variant to segment them before comparing each of its data dimension. This project suggesting a modified DTW algorithm with the proposed Missed Nodes Recovery Algorithm aims to improve the mapping performance, hence the development of stroke to stroke signature comparison is possible. This project is also proposing a method to compare the strokes with its similar strokes in on-line signature. All algorithm and experiments will be carried out using Matlab. The output of this research project is an algorithm that can be used to map strokes as well as to compare similarity of strokes in on-line signature. 2010-03 Thesis http://eprints.utm.my/id/eprint/11063/ http://eprints.utm.my/id/eprint/11063/6/AzharAhmadJainiMFSKSM2010.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems Faculty of Computer Science and Information System |
| institution |
Universiti Teknologi Malaysia |
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UTM Institutional Repository |
| language |
English |
| topic |
QA75 Electronic computers Computer science |
| spellingShingle |
QA75 Electronic computers Computer science Ahmad Jaini, Azhar Stroke-to-stroke matching in on-line signature verification |
| description |
On-line Signature Verification is a field of verifying the time series signature data that normally obtained from the tablet-based device. Unlike common signature image, the on-line signature image data consists of points that are arranged in sequence based on time. The aim of this research is to develop a new approach to map the strokes in both test and reference signatures as well as to verify the originality of the test signatures. Current methods make use of the DTW algorithm and its variant to segment them before comparing each of its data dimension. This project suggesting a modified DTW algorithm with the proposed Missed Nodes Recovery Algorithm aims to improve the mapping performance, hence the development of stroke to stroke signature comparison is possible. This project is also proposing a method to compare the strokes with its similar strokes in on-line signature. All algorithm and experiments will be carried out using Matlab. The output of this research project is an algorithm that can be used to map strokes as well as to compare similarity of strokes in on-line signature. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Ahmad Jaini, Azhar |
| author_facet |
Ahmad Jaini, Azhar |
| author_sort |
Ahmad Jaini, Azhar |
| title |
Stroke-to-stroke matching in on-line signature verification |
| title_short |
Stroke-to-stroke matching in on-line signature verification |
| title_full |
Stroke-to-stroke matching in on-line signature verification |
| title_fullStr |
Stroke-to-stroke matching in on-line signature verification |
| title_full_unstemmed |
Stroke-to-stroke matching in on-line signature verification |
| title_sort |
stroke-to-stroke matching in on-line signature verification |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems |
| granting_department |
Faculty of Computer Science and Information System |
| publishDate |
2010 |
| url |
http://eprints.utm.my/id/eprint/11063/6/AzharAhmadJainiMFSKSM2010.pdf |
| _version_ |
1747814804017381376 |