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Gonzaga, Dominique Kyle
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Automotive Engineering Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Enhancement of Viola-Jones Algorithm using Local Binary Pattern Applied to Face Detection Anetin, Jasmine; Gonzaga, Dominique Kyle; Castillon, Vanessa Mae; Agustin, Vivien A
International Journal on Orange Technologies Vol. 4 No. 6 (2022): IJOT
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v4i6.3123

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.
Co-Authors Agustin, Vivien A Anetin, Jasmine Castillon, Vanessa Mae