Citation
Khoh, Wee How and Ong, Thian Song and Pang, Ying Han and Teoh, Andrew Ben Jin (2014) Score level fusion approach in dynamic signature verification based on hybrid wavelet-Fourier transform. Security and Communication Networks, 7 (7). pp. 1067-1078. ISSN 1939-0122
Text
Score level fusion approach in dynamic signature verification based on hybrid wavelet-Fourier transform.pdf Restricted to Repository staff only Download (979kB) |
Abstract
In this work, a dynamic handwritten signature verification system based on hybrid discrete wavelet transform and discrete Fourier transform is presented. Wavelet transform is adopted to analyze the signature information in a multi-resolution representation while retaining its local information by decomposing the signature into different sub-bands. Fourier transform is performed to extract the feature descriptor of the decomposed sub-bands. A dissimilarity score of the extracted features between the test signature and reference data is computed using Euclidean distance and enveloped Euclidean distance. Apart from that, several score level fusion mechanisms have been investigated to combine decisive information to boost up the system performance. The k-nearest neighbor and support vector machine are applied in order to fuse multiple features. The resulting score value is then normalized and compared with a threshold value in order to decide whether a given signature is genuine or forgery. Experiments are conducted on a released version of benchmark SVC2004 database. Two datasets (Task 1 and Task 2), which have different types of signature information, are used to evaluate the proposed system, and promising verification results are achieved.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Dynamic signature verification, DWT–DFT transformation, score level fusion |
Subjects: | Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science |
Divisions: | Centre for Diploma Programmes (CDP) Faculty of Information Science and Technology (FIST) |
Depositing User: | Ms Nurul Iqtiani Ahmad |
Date Deposited: | 23 Jul 2014 05:50 |
Last Modified: | 22 Apr 2021 16:56 |
URII: | http://shdl.mmu.edu.my/id/eprint/5640 |
Downloads
Downloads per month over past year
Edit (login required) |