Publication: Validating inception V3 for signiture verification
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Date
2023-05
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Don Mariano Marcos Memorial State University - South La Union Campus
Abstract
This paper presents is aimed at validating the effectiveness of the Inception V3
model in signature verification by applying preprocessing and augmentation technique.
Experimental research was utilized where in experimentation, collection, and analysis of
numerical and non-numerical data were performed The datasets of Signature acquired
from the CEDAR datasets. Specifically, it sought answers to attain the following objectives:
(1) apply preprocessing and augmentation technique to CEDAR dataset, (2) develop a
signature verification model using Inception V3, and (3) evaluate the performance of the
signature verification model. The dataset underwent preprocessing and augmentation
techniques. The signature verification model s performance was measured using the
model straining s loss and accuracy compared to the validation s loss and accuracy
respectively. Furthermore, FRR, FAR is also employed to measure the performance of the
model. The SGD optimizer with a batch size of 32 yields the best results among the other
parameters having an accuracy of 97. 10%.
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Citation
Pacho, D. R., Bejar, S., Dulay, J. M., & Ignacio, D. J. (2023) Validating inception V3 for signiture verification [Unpublished Undergraduate thesis]. Don Mariano Marcos Memorial State University - South La Union Campus, Agoo, La Union.