An efficient Real Time Multi View Face Recognition System

In recent years, the biometrics environment has received considerable attention at the global level. One of the most important biometrics is the face recognition. Viola and Jones algorithm is used for front face detection. Facial side images detected through the skin detection methodology. For features extraction step, Histogram oriented gradient (HOG) algorithm is used. This paper suggested using Raspberry pi3 platform in the real time multi-face recognition system to connect three cameras. In the recognition step, Support Vector Machine (SVM) used and compared with the performance of the principal component analysis algorithm (PCA). The system is tested on multiple images of the FEI database.

Authors

Publication Details

Journal
International Journal of Engineering & Technology
Published
2026-04-27
DOI
https://doi.org/10.14419/ijet.v7i4.15.21385
Primary Topic
Face and Expression Recognition
Type
article
Field-Weighted Citation Impact
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article

An efficient Real Time Multi View Face Recognition System

Dr. Aymen Dawood Salman, Noor Dheayah Jaffar, Dr. Saman Hamid, Dr. Ghaida Muttasher Abdulsaheb
International Journal of Engineering & Technology
Face and Expression Recognition
article

An efficient Real Time Multi View Face Recognition System

Dr. Aymen Dawood Salman, Noor Dheayah Jaffar, Dr. Saman Hamid, Dr. Ghaida Muttasher Abdulsaheb
article en

Abstract

In recent years, the biometrics environment has received considerable attention at the global level. One of the most important biometrics is the face recognition. Viola and Jones algorithm is used for front face detection. Facial side images detected through the skin detection methodology. For features extraction step, Histogram oriented gradient (HOG) algorithm is used. This paper suggested using Raspberry pi3 platform in the real time multi-face recognition system to connect three cameras. In the recognition step, Support Vector Machine (SVM) used and compared with the performance of the principal component analysis algorithm (PCA). The system is tested on multiple images of the FEI database.

International Journal of Engineering & TechnologyVol. 7(3.15)
Openalex Percentile: Top 5%
Face and Expression Recognition
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