PENGENALAN WAJAH DARI BERBAGAI SUDUT MENGGUNAKAN METODE SELF ORGANIZING MAP

IRAWAN, GIANT PANDANA and Samsuryadi, Samsuryadi (2020) PENGENALAN WAJAH DARI BERBAGAI SUDUT MENGGUNAKAN METODE SELF ORGANIZING MAP. Undergraduate thesis, Sriwijaya University.

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Abstract

Human face recognition has become a challenge for researchers to facilitate the human-machine interface. In this study, the Self Organizing Map method was used to recognize 45 human faces who have different poses. Before the recognition process, the preprocessing stage is carried out on the input image, it is face detection process by using the Viola Jones method and the greyscaling image process which aims to produce the image of gray, so that the image is more easily processed and produces feature better. The Self Organizing Map method is used in the face recognition process. Based on the evaluation carried out on the Self Organizing Map method for recognition of human facial using the CAS Peal dataset of 225 images as the training dataset and 90 images as the test dataset, it gets an average accuracy of 98% which is calculated using confusion matrix. Based on these results, it shows that the Self Organizing Map method has good performance.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Pengenalan wujud manusia, self organizing map, viola jones
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 8967 not found.
Date Deposited:	18 Jan 2021 03:10
Last Modified:	18 Jan 2021 03:10
URI:	http://repository.unsri.ac.id/id/eprint/39273

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