DEVELOPMENT OF REAL TIME FACE DETECTION AND RECOGNITION SYSTEM

Face detection and identification are critical in automated security systems. It aids us in the construction of effective security and surveillance systems. There is a need for a more rapid and accurate means of identifying and authenticating users. The goal of this paper is to investigate the feasi...

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Published inI-manager's Journal on Pattern Recognition Vol. 8; no. 2; p. 31
Main Authors TEJASRI, CH, J. SAI, KRISHNA, NANDINI, D. R., B. HEMANTH, NAG, B. SRI, HARSHA
Format Journal Article
LanguageEnglish
Published Nagercoil iManager Publications 01.07.2021
Subjects
Face recognition
Facial recognition technology
Histograms
Human performance
Pattern recognition
Security systems
Surveillance systems
System effectiveness
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Abstract Face detection and identification are critical in automated security systems. It aids us in the construction of effective security and surveillance systems. There is a need for a more rapid and accurate means of identifying and authenticating users. The goal of this paper is to investigate the feasibility of developing a face recognition system employing Local Binary Pattern Histogram (LBPH) recognizer. The computerized face recognition system simulates the human ability to identify faces by acquiring information through the eyes, comparing it with the person's memory, and recognizing them. In this paper, the web camera is the eye of the system and Raspberry Pi is the computational engine with LBPH to detect a face and recognize it.
AbstractList Face detection and identification are critical in automated security systems. It aids us in the construction of effective security and surveillance systems. There is a need for a more rapid and accurate means of identifying and authenticating users. The goal of this paper is to investigate the feasibility of developing a face recognition system employing Local Binary Pattern Histogram (LBPH) recognizer. The computerized face recognition system simulates the human ability to identify faces by acquiring information through the eyes, comparing it with the person's memory, and recognizing them. In this paper, the web camera is the eye of the system and Raspberry Pi is the computational engine with LBPH to detect a face and recognize it.
Author J. SAI, KRISHNA
NANDINI, D. R.
TEJASRI, CH
B. HEMANTH, NAG
B. SRI, HARSHA
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CorporateAuthor Department of Electrical Communication Engineering, Lendi Institute of Engineering and Technology, Jonnada, Vizianagaram, Andhra Pradesh, India
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SubjectTerms Face recognition
Facial recognition technology
Histograms
Human performance
Pattern recognition
Security systems
Surveillance systems
System effectiveness
Title DEVELOPMENT OF REAL TIME FACE DETECTION AND RECOGNITION SYSTEM
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