Open AccessDevelopment of a tool for determining the authenticity of signature using the raspberry pi board
Author(s) -
D H Rohan,
Muhammad Yusro,
Wisnu Djatmiko
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1098/4/042086
Subject(s) - signature (topology) , computer science , raspberry pi , pixel , computer vision , artificial intelligence , image processing , image (mathematics) , computer security , mathematics , geometry , internet of things
Determining the authenticity of signatures is an important task in office / company administration because there are many cases of counterfeiting. The purpose of this study is to develop a tool for determine the authenticity of signature based. The device consists of three main parts, namely a camera module for reading signature images, a raspberry pi board for processing signature images; and an LCD module for displaying the results of signature authenticity detection. This study proposes a simple algorithm using the binary image method and canny edge detection to change images and compare pixel values between reference signature images and doubtful signature images. This process is done by comparing pixels with the same position from different signature images. The comparison results will base for the tool to determine the authenticity of signatures. The result is displayed on the LCD screen with the name of the owner of the signature obtained from the tool database. This system can store five signatures that serve as reference signatures and has six possible final decisions in determining the authenticity of signatures. The results showed that the system can determine the authenticity of signatures with a success rate of 82% from testing of ten different signature images.