Impact of Hardware Sources on Feature Selection for Online Signature Verification
Impact of Hardware Sources on Feature Selection for Online Signature Verification
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Abstract
This work analyzes time series features gathered from a touchpad which is a part of online signature verification system. A DTW processing unit is implemented on FPGA to be used in time series analysis. To support different feature groups, this unit can be reconfigured without altering the memory structure. By using this reconfigurable unit, features are evaluated according to the area cost that they introduce. Moreover, a method to predict the value of features for classification is introduced. This way, minimum requirements to implement an online signature verification system on FPGA are partially obtained.
Description
ORCID
Keywords
Field programmable gate arrays, Dinamik zaman bükmesi, Static var compensators, Table lookup, Öznitelik seçme, Handwriting recognition, Fpga, Time series analysis, Çevirimde imza doğrulama, Feature extraction, Gömülü sistem tasarımı, Neural networks, Dynamic Time Warping, Online Signature Verification, Embedded Systems, Feature Selection
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
R. Orak and T. Ayhan, (5-7 Oct. 2020). Impact of Hardware Sources on Feature Selection for Online Signature Verification, 2020 28th Signal Processing and Communications Applications Conference (SIU), pp. 1-4, doi: 10.1109/SIU49456.2020.9302136.
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Volume
Issue
Start Page
1-4
End Page
4
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