Automatic face and VLP’s recognition for smart parking system

Autor:	H Sugondo, Suci Aulia, Reivind P. Persada, D Burhanuddin
Rok vydání:	2019
Předmět:	Identification (information) Computer science Face (geometry) Reliability (computer networking) Smart city Real-time computing Process (computing) Noise (video) Electrical and Electronic Engineering Face detection Facial recognition system
Zdroj:	TELKOMNIKA (Telecommunication Computing Electronics and Control). 17:1698
ISSN:	2302-9293 1693-6930
DOI:	10.12928/telkomnika.v17i4.11746
Popis:	One of the concerning issues regarding smart city is Smart Parking. In Smart Parking, some researchers try to provide solutions and breakthroughs on several research topics among security systems, the availability of single space, an IoT framework, etc. In this study, we proposed a security system on Smart Parking based on face recognition and VLP’s (Vehicle License Plates) identification. In this research, SSIM (Structural Similarity) method as part of IQA has been applied due to its reliability and simple computation for face detection and recognition process. From the test results of 30 data, obtained the highest SSIM value 0.83 with the highest accuracy rate of 76.67%. That level of accuracy still has not reached the implementation standard of 99.9%. So that it still needs to be improved in the future studies, especially in the filtering noise section.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c5b45d5802ba2ca281841dbe9c441a02 https://doi.org/10.12928/telkomnika.v17i4.11746 Zobrazit plný text záznamu Plný text ve formátu PDF