Open AccessSecurity System Implementation of Safe Deposit Box Using Iris Pattern Based Matlab
Author(s) -
Tri Rahajoeningroem,
M. A. Riyanto
Publication year - 2019
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/662/2/022128
Subject(s) - iris recognition , computer science , iris (biosensor) , computer vision , artificial intelligence , hough transform , matlab , segmentation , haar like features , haar wavelet , biometrics , transformation (genetics) , canny edge detector , image processing , process (computing) , thresholding , enhanced data rates for gsm evolution , identification (biology) , edge detection , pattern recognition (psychology) , image (mathematics) , wavelet transform , wavelet , discrete wavelet transform , chemistry , biology , operating system , biochemistry , facial recognition system , botany , face detection , gene
This research explains about a biometric system that uses iris pattern for Safe Deposit Box Users. Matlab is used for processing the iris pattern. In the process of image processing, there are several processes such as segmentation, extraction and identification. The initial phase of segmentation will be proceed using canny edge detection then continued by hough circle transform to detect the center circle of iris. The second process is by extracting where the image of segmentation will be proceed by using haar wavelet transformation, the image will be changed to another form by decomposition of the vertical and horizontal image of the iris in order to get the data from iris image of user. The last phase is identification. In this stage, hamming distance method that will read the iris data in the database that has get through both phases and compare it with image captured by the webcam camera. If the image of user has been detected, then the safe deposit box will be opened. The advantages of this system is the iris pattern is very stable and different form each individual so it is not easy to be manipulated. The average identifying of this research is 76.70%. As security system, using iris pattern can be developed to prevent unwanted act.