Buana Information Technology and Computer Sciences (BIT and CS)
Vol 3 No 2 (2022): Buana Information Technology and Computer Sciences (BIT and CS)

Signature Verification Using The K-Nearest Neighbor (KNN) Algorithm and Using the Harris Corner Detector Feature Extraction Method

Aang Alim Murtopo (STMIK YMI TEGAL)
Bayu Priyatna (Universitas Buana Perjuangan Karawang)
Rini Mayasari (Universitas Singaperbangsa Karawang)

Article Info

Publish Date
31 Jul 2022

Abstract

The security of the transaction process is very important in this day and age. Signatures can be used as a means of guaranteeing the security of a transaction other than fingerprints. However, the threat of signature forgery for those who use signatures as security is still very high and frequent. In this research, we will verify the authenticity of a signature and test it using the K-Nearest Neighbour (KNN) algorithm and the Harris Corner feature extraction method. There are two kinds of distance calculations that will be used in the K-NN algorithm, namely by calculating the distance from Euclidean Distance and Manhattan Distance. The k value at KNN taken is at k = 1, k = 3, and k = 5.

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Journal Info
Buana Information Technology and Computer Sciences (BIT and CS)
Website

Abbrev

bit-cs

Publisher

Universitas Buana Perjuangan Karawang

Subject

Computer Science & IT

Description

Buana Information Technology and Computer Science (BIT and CS) is a journal focusing on new technologies that handle IT research and management - including strategy, change, infrastructure, human resources, information system development and implementation, technology development, future technology, ...