Ayhan, TubaOrak, Remzi2021-10-092021-10-092020R. 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/SIU49456.2020.9302136.97817281720642165-0608https://doi.org/10.1109/SIU49456.2020.9302136https://hdl.handle.net/20.500.11779/1570This 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.trinfo:eu-repo/semantics/closedAccessField programmable gate arraysDinamik zaman bükmesiStatic var compensatorsTable lookupÖznitelik seçmeHandwriting recognitionFpgaTime series analysisÇevirimde imza doğrulamaFeature extractionGömülü sistem tasarımıNeural networksConference Object10.1109/SIU49456.2020.93021362-s2.0-85100311923