2024
DOI: 10.33395/sinkron.v8i2.13556
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Face Detection in Complex Background using Scale Invariant Feature Transform and Haar Cascade Classifier Methods

Dyah Kartika Damarsiwi,
Elindra Ambar Pambudi,
Maulida Ayu Fitriani
et al.

Abstract: Face detection is a process by a computer system that can find and identify human faces in digital images or videos. One of the main challenges faced in the face detection process is the complex background. Complex backgrounds, such as many color combinations in the image, can interfere with the detection process. To overcome this challenge, this research uses a combination of two methods: Scale Invariant Feature Transform (SIFT) and Haar Cascade Classifier. Scale Invariant Feature Transform (SIFT) is a method… Show more

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