LBPH-based Enhanced Real-Time Face Recognition
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 5
Abstract
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).
Authors and Affiliations
Farah Deeba, Hira Memon, Fayaz Ali Dharejo, Aftab Ahmed, Abddul Ghaffar
Keywords
Related Articles
- EP ID EP578387
- DOI 10.14569/IJACSA.2019.0100535
- Views 106
- Downloads 0
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