Comparative analysis of selected facial recognition algorithms

Autor:	Chika Yinka-Banjo, J.A. Popoola
Rok vydání:	2020
Předmět:	ComputingMethodologies_PATTERNRECOGNITION Haar-like features Eigenface Computer science business.industry Face (geometry) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Artificial intelligence business Facial recognition system Facial symmetry
Zdroj:	Nigerian Journal of Technology. 39:896-904
ISSN:	2467-8821 0331-8443
Popis:	Systems and applications embedded with facial detection and recognition capabilities are founded on the notion that there are differences in face structures among individuals, and as such, we can perform face-matching using the facial symmetry. A widely used application of facial detection and recognition is in security. It is important that the images be processed correctly for computer-based facial recognition, hence, the usage of efficient, cost-effective algorithms and a robust database. This research work puts these measures into consideration and attempts to determine a cost-effective and reliable algorithm out of three algorithms examined. Keywords: Haar-Cascade, PCA, Eigenfaces, Fisherfaces, LBPH, Face Recognition.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::da30c793afbb26703668dbc038639eee https://doi.org/10.4314/njt.v39i3.31 Zobrazit plný text záznamu