Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/60435
Title: Automatic license plate recognition system
Authors: Ong, Xue Li
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2014
Abstract: Automatic License Plate Recognition (ALPR) system is a system that automatically recognizes the license plate of vehicles. It has become increasingly popular in many applications such as assisting the police in tracking lost or wanted vehicles or be used at gantries to control access to condominiums or buildings. This paper focus on detecting and recognizing Singapore license plate that have different sizes. The job is divided into two main steps: License Plate Recognition (LPR) and Plate Number Recognition (PNR). In the license plate recognition step, the job is further divided into plate segmentation and classification. In the plate number recognition step, character recognition is performed to read the plate number. For the practical implementation of our system, we employ OpenCV for computer vision tasks, Tesseract for character recognition and Qt for cross-platform enabled GUIs.
URI: http://hdl.handle.net/10356/60435
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYPFinalReport_XueLi.pdf
  Restricted Access
2.03 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.