Multi-Object Face Recognition Using Local Binary Pattern Histogram and Haar Cascade Classifier on Low-Resolution Images

Multi-Object Face Recognition Using Local Binary Pattern Histogram and Haar Cascade Classifier on Low-Resolution Images

This study aims to build a face recognition prototype that can recognize multiple face objects within one frame. The proposed method uses a local binary pattern histogram and Haar cascade classifier on low-resolution images. The lowest data resolution used in this study was 76 × 76 pixels and the h...

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Bibliographic Details
Main Authors: R. Rizal Isnanto, Adian Rochim, Dania Eridani, Guntur Cahyono
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2021-01-01
Series:International Journal of Engineering and Technology Innovation
Subjects:
face recognition
linear binary pattern histogram
low resolution
histogram equalization
Online Access:https://ojs.imeti.org/index.php/IJETI/article/view/6174

Internet

https://ojs.imeti.org/index.php/IJETI/article/view/6174

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