Olivia, Karina (2022) SISTEM PENDETEKSIAN DAN PENGENALAN EKSPRESI PADA WAJAH SECARA REAL-TIME MENGGUNAKAN FITUR HARALICK DAN FITUR HAAR. S1 thesis, Universitas Malikussaleh.

	Text TGA KARINA OLIVIA-1.pdf Download (31kB)
	Text TGA KARINA OLIVIA-9-10.pdf Download (12kB)
	Text TGA KARINA OLIVIA-19-25.pdf Download (31kB)
	Text TGA KARINA OLIVIA-123-125.pdf Download (237kB)
	Text TGA KARINA OLIVIA.pdf Restricted to Registered users only Download (4MB)

Abstract

REAL-TIME FACIAL EXPRESSION DETECTION AND RECOGNITION SYSTEM USING HARALICK AND HAAR FEATURES ABSTRACT Detecting and recognizing facial expressions is a very difficult task. Realtime tracking of facial objects due to its limited nature and location where it occurs. Face recognition is the main step in facial recognition system. Face detection means that certain images determine to determine the human face, its position and size, as well as the accuracy of the position directly affect the effect of face detection. Currently, facial recognition methods are based on geometric feature methods, skin color model-based approaches, and statistical theory-based methods. Due to the rapid development of digital image technology, it is necessary to develop an artificial intelligence to detect facial expression recognition in real time. In this case, the researcher is interested in trying the extraction of haralick features and haar features in the detection and recognition of facial expressions in realtime using haarcascade modeling for classification. In this study, the results of the implementation that have been carried out from testing data using the haralick feature with happy expressions the percentage value is 94,429%, the percentage of sad expressions is 38,777%, the percentage of angry expressions is 49,3777%. After testing the data using the Haar feature, the percentage value of happy expression is 78.329%, percentage expression is 36.292%, and percentage of angry expression is 39.517%. Keywords: Haralick Feature, Haar Feature, Haarcascade, Face Detection, Facial Expression.

Item Type:	Thesis (S1)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
Divisions:	Fakultas Teknik > 55201 - Jurusan Teknik Informatika
Depositing User:	Khairiati Khairiati
Date Deposited:	25 Feb 2025 01:43
Last Modified:	25 Feb 2025 01:43
URI:	https://rama.unimal.ac.id/id/eprint/10274

Actions (login required)

View Item