Automatic face and VLP’s recognition for smart parking system

Another part of smart parking system is vehicle license plates recognition (VLPs), many researchers studied how to get high accuracy of plate recognition [9] by simulating several methods such as MIP (Morphological Image Processing, 96.4%) [10], Blob extraction and segmentation method (90.0%) [11],...

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Bibliographic Details
Published in:Telkomnika 2019-08, Vol.17 (4), p.1698-1705
Main Authors: Persada, Reivind P., Aulia, Suci, D., Burhanuddin, H., Sugondo
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Automobiles
Cameras
Face recognition
Image processing
Image segmentation
International conferences
License plates
Medical research
Methods
Noise
Object recognition
Optical character recognition
Quality
Queues
Research methodology
Researchers
Signal processing
Subtraction
Systems design
Vehicle identification
Webcams
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Summary:Another part of smart parking system is vehicle license plates recognition (VLPs), many researchers studied how to get high accuracy of plate recognition [9] by simulating several methods such as MIP (Morphological Image Processing, 96.4%) [10], Blob extraction and segmentation method (90.0%) [11], OpenCV [12-14], and some enhancement methods like OCR (Optical Character Recognition) [15,16]. In this study, the test limits only one car in one queue of vehicles and only one face in captured image. 2.Research Method 2.1.System Design The system design consists of entrance gate, main controller unit that connected to the server and data base, and the end part is gate. The Haar method was used for segmentation of object (vehicle and face) on image due to its superiority which can segment the characters on license plate in real time condition as tested by Chirag [18] in his survey research for Automatic Number Plate Recognition (ANPR). The rate of accuracy system can be improved by testing several parameters like background subtraction, decrease level of contrast with median filtering, up and down the position of webcam more precision. 4.Conclusion This research has successfully implemented face and vehicle license plates (VLPs) identification for smart parking system at the parking lot in Telkom University area.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v17i4.11746