SIGNATURE VERIFICATION USING ENTROPY VALUES

RHEMAKRISNA, IVAN ALBERN (2021) SIGNATURE VERIFICATION USING ENTROPY VALUES. Other thesis, Universitas Katholik Soegijapranata Semarang.

	Text 17.K1.0006-IVAN ALBERN RHEMAKRISNA-COVER_a.pdf Download (2MB)
	Text 17.K1.0006-IVAN ALBERN RHEMAKRISNA-BAB I_a.pdf Download (2MB)
	Text 17.K1.0006-IVAN ALBERN RHEMAKRISNA-BAB II_a.pdf Restricted to Registered users only Download (2MB)
	Text 17.K1.0006-IVAN ALBERN RHEMAKRISNA-BAB III_a.pdf Download (2MB)
	Text 17.K1.0006-IVAN ALBERN RHEMAKRISNA-BAB IV_a.pdf Download (2MB)
	Text 17.K1.0006-IVAN ALBERN RHEMAKRISNA-BAB V_a.pdf Download (2MB)
	Text 17.K1.0006-IVAN ALBERN RHEMAKRISNA-BAB VI_a.pdf Download (2MB)
	Text 17.K1.0006-IVAN ALBERN RHEMAKRISNA-DAPUS_a.pdf Download (2MB)
	Text 17.K1.0006-IVAN ALBERN RHEMAKRISNA-LAMP_a.pdf Download (2MB)

Abstract

Signature is the most crucial and important human identity. There are many falsification of signatures that occur in existing institutions. This research is shown to analyze an original or fake signature based on entropy value and analyze the type size of ballpoint pen and the variation in each person’s signature affects the entropy result or not. The first step is to collect signature samples from respondent and then convert them to digital image with a scanning process. Then converting the digital signature image to gray scale and then converting it again into binary. Then will calculated the entropy value of each image and it will be tested with different types of pen sizes and variations in each person’s signature effect on the entropy value results. The entropy values will be compared and analyze between the training data, original signature data, and fake signature data. The time process of the image will be showed too. The analysis is using precision recall, where the result of the accuracy is 60,3 %.

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works > 005 Computer programming, programs & data
Divisions:	Faculty of Computer Science > Department of Informatics Engineering
Depositing User:	mr AM. Pudja Adjie Sudoso
Date Deposited:	18 May 2021 02:46
Last Modified:	18 May 2021 02:46
URI:	http://repository.unika.ac.id/id/eprint/25049

Actions (login required)

View Item