IDENTIFIKASI IRIS MATA MENGGUNAKAN BIOMIMETIC PATTERN RECOGNITION

GHIFFARI, DIO and Samsuryadi, Samsuryadi and Primanita, Anggina (2018) IDENTIFIKASI IRIS MATA MENGGUNAKAN BIOMIMETIC PATTERN RECOGNITION. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09121002026.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
	Text RAMA_55201_09121002026_0004027101_0206088901_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (901kB) | Request a copy
	Text RAMA_55201_09121002026_0004027101_0206088901_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (722kB) | Request a copy
	Text RAMA_55201_09121002026_0004027101_0206088901_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (277kB) | Request a copy
	Text RAMA_55201_09121002026_0004027101_0206088901_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (15kB) | Request a copy
	Text RAMA_55201_09121002026_0004027101_0206088901_06_ref.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (93kB) | Request a copy
	Text RAMA_55201_09121002026_0004027101_0206088901_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (137kB) | Request a copy
Preview	Text RAMA_55201_09121002026_0004027101_0206088901_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (527kB) | Preview

Abstract

The recognition of the iris image pattern is to identify based on the unique patterns of iris in an iris image. The iris image identification process is performed using a number of steps such as edge detection with Prewitt operator, detecting iris circle by Cyrcle Hough Transform method, normalizing iris image with Daughman's Rubber sheet model, and feature extraction using Independent Component Analysis. The result of feature extraction is used for identification process by Biomimetic Pattern Recognition (BPR) method. Based on the topology used, BPR builds the scopes in high-dimensional space using theoretical geometry of knowledge and image thinking resulting in scoping on the nerve network with many weights. The research was conducted by 2 stages, identifying 80 individual samples, each of which had 5 iris images with 4 training images and 1 test image having average success of 71,67%. While the identification of 25 samples for 3 image training and 2 test images with an average of 86% success.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Identifikasi citra iris mata, Independent Component Analysis, Biomimetic Pattern Recognition
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mr Halim Sobri
Date Deposited:	11 Sep 2019 01:47
Last Modified:	11 Sep 2019 01:47
URI:	http://repository.unsri.ac.id/id/eprint/7014

Actions (login required)

View Item