LBPH-based Enhanced Real-Time Face Recognition

Facial recognition has always gone through a consistent research area due to its non-modelling nature and its diverse applications. As a result, day-to-day activities are increasingly being carried out electronically rather than in pencil and paper. Today, computer vision is a comprehensive field th...

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Veröffentlicht in:International journal of advanced computer science & applications 2019, Vol.10 (5)
Hauptverfasser: Deeba, Farah, Memon, Hira, Ali, Fayaz, Ahmed, Aftab, Ghaffar, Abddul
Format: Artikel
Sprache:eng
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Zusammenfassung:Facial recognition has always gone through a consistent research area due to its non-modelling nature and its diverse applications. As a result, day-to-day activities are increasingly being carried out electronically rather than in pencil and paper. Today, computer vision is a comprehensive field that deals with a high level of programming by feeding the input images/videos to automatically perform tasks such as detection, recognition and classification. Even with deep learning techniques, they are better than the normal human visual system. In this article, we developed a facial recognition system based on the Local Binary Pattern Histogram (LBPH) method to treat the real-time recognition of the human face in the low and high-level images. We aspire to maximize the variation that is relevant to facial expression and open edges so to sort of encode edges in a very cheap way. These highly successful features are called the Local Binary Pattern Histogram (LBPH).
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2019.0100535