EPI International Journal of Engineering
Vol 1 No 1 (2018): Volume 1 Number 1, February 2018

Support Vector Machine Method to Reduce the Execution Time of Vehicle Plate Recognition System

Muhammad Ismail (Graduated Student of Electrical Engineering Department, Engineering Faculty, Hasanuddin University, Makassar)
Indrabayu Indrabayu (Department of Informatics, Engineering Faculty, Hasanuddin University, Makassar.)
Intan Sari Areni (Department of Electrical Engineering, Engineering Faculty, Hasanuddin University, Makassar.)

Article Info

Publish Date
28 Feb 2018

Abstract

This research aims to create a vehicle plate detection and recognition system with Cascade Classifier, Support Vector Machine (SVM) and Optical Character Recognition (OCR). Cascade Classifier with Local Binary Patterns (LBP)descriptor is used todetectthe carlicence plate (Coarse Location). SVM is used to reduce plate candidate detection error andthe execution time. Optical Character Recognition (OCR) is used to recognize characters in plates. The system test is performed using 19 video data of moving vehicles at night and rain conditions. Each video has a duration of 30 seconds and contains 4-10 cars per video. The testing results reduce the execution time of vehicle plate recognition systemreached60% with the average accuracy of plate recognition is 61.94%.

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Journal Info
EPI International Journal of Engineering
Website

Abbrev

epiije

Publisher

Universitas Hasanuddin

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

EPI International Journal of Engineering (EPI-IJE) is published and managed by Center of Technology, Faculty of Engineering, University of Hasanuddin (CoT, FoE, UNHAS), Indonesia. The main objective of this international journal is to create publishing opportunities and to disseminate knowledge in ...