Preliminary communication

https://doi.org/10.31803/tg-20220321232047

Face Detection and Recognition Using Raspberry PI Computer

Mario Dubovečak ; University North, 104. brigade 1, 42000 Varaždin, Croatia
Emil Dumić orcid.org/0000-0002-0262-5595 ; University North, 104. brigade 1, 42000 Varaždin, Croatia
Andrija Bernik ; University North, 104. brigade 1, 42000 Varaždin, Croatia

Abstract

This paper presents a face detection and recognition system utilizing a Raspberry Pi computer that is built on a predefined framework. The theoretical section of this article shows several techniques that can be used for face detection, including Haar cascades, Histograms of Oriented Gradients, Support Vector Machine and Deep Learning Methods. The paper also provides examples of some commonly used face recognition techniques, including Fisherfaces, Eigenfaces, Histogram of Local Binary Patterns, SIFT and SURF descriptor-based methods and Deep Learning Methods. The practical aspect of this paper demonstrates use of a Raspberry Pi computer, along with supplementary tools and software, to detect and recognize faces using a pre-defined dataset.

Keywords

face detection; face recognition; haar cascades; LBPH; Raspberry PI

Hrčak ID:

306114

URI

https://hrcak.srce.hr/306114

Publication date:

15.9.2023.

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