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Journals / Electronic Letters on Science and Engineering / 2020 / Cilt: 16 - Sayı: 2

Face Recognition using Local Binary Patterns

Özlem ORHAN
Muhammed MİLANİ
Bahar MİLANİ
Pages
202–207
Publication Date
2020-12-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results analyzed in this method show its efficiency.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Face recognition is one of the topics from which it is difficult to prepare a complete computational model.
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Key Findings & Data:Unlike other detection's these are a high-level task, and a variety of methods have been proposed.
💡
Conclusion & Impact:The results analyzed in this method show its efficiency.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Face recognition · LBP · Detection

Abstract

Face recognition is one of the topics from which it is difficult to prepare a complete computational model. Unlike other detection's these are a high-level task, and a variety of methods have been proposed. On the other hand, face recognition is needed as a suitable data source for various applications that lead to the recognition of individuals. In this article, we will examine this issue and consider a method based on Local Binary Patterns and provide algorithms for it. The results analyzed in this method show its efficiency.

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Cite This Article

ORHAN, Ö., MİLANİ, M., MİLANİ, B. (2020). Face Recognition using Local Binary Patterns. Electronic Letters on Science and Engineering, Cilt: 16 - Sayı: 2, 202–207. https://ajindex.com/articles/133635

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