IJOT
Vol. 4 No. 6 (2022): IJOT

Enhancement of Viola-Jones Algorithm using Local Binary Pattern Applied to Face Detection

Anetin, Jasmine (Unknown)
Gonzaga, Dominique Kyle (Unknown)
Castillon, Vanessa Mae (Unknown)
Agustin, Vivien A (Unknown)

Article Info

Publish Date
08 Jun 2022

Abstract

Face detection is a type of computer image processing technology that can detect faces in digital images. In real-time applications such as CCTV surveillance and video tracking, automatic face detection and recognition is the most difficult and rapidly increasing study topic. One of the most well-known and often used methods for detecting human faces is the Viola-Jones Algorithm. The difficulty associated with the algorithm can be attributed to many variations in the angles of a person's face. In this paper, an enhanced Viola-Jones algorithm with a local binary pattern (LBP) is used to recognize numerous and tilted faces with excellent accuracy.

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Journal Info
IJOT
Website

Abbrev

IJOT

Publisher

Research Parks Publishing

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

Description

International Journal on Orange Technologies (IJOT) is an online international peer-reviewed journal that publishes high-quality original scientific papers, short communications, correspondence, and case studies in areas of research, development, and applications of orange technology and ...