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Barrier Access Control Using Sensors Platform and Vehicle License Plate Characters Recognition.
Ullah, Farman; Anwar, Hafeez; Shahzadi, Iram; Ur Rehman, Ata; Mehmood, Shizra; Niaz, Sania; Mahmood Awan, Khalid; Khan, Ajmal; Kwak, Daehan.
Afiliação
  • Ullah F; Department of Electrical & Computer Engineering, COMSATS University Islamabad-Attock Campus, Attock 43600, Pakistan.
  • Anwar H; Department of Electrical & Computer Engineering, COMSATS University Islamabad-Attock Campus, Attock 43600, Pakistan.
  • Shahzadi I; Department of Electrical & Computer Engineering, COMSATS University Islamabad-Attock Campus, Attock 43600, Pakistan.
  • Ur Rehman A; Department of Electrical & Computer Engineering, COMSATS University Islamabad-Attock Campus, Attock 43600, Pakistan.
  • Mehmood S; Department of Electrical & Computer Engineering, COMSATS University Islamabad-Attock Campus, Attock 43600, Pakistan.
  • Niaz S; Department of Electrical & Computer Engineering, COMSATS University Islamabad-Attock Campus, Attock 43600, Pakistan.
  • Mahmood Awan K; Department of Computer Sciences, COMSATS University Islamabad-Attock Campus, Attock 43600, Pakistan.
  • Khan A; Department of Electrical & Computer Engineering, COMSATS University Islamabad-Attock Campus, Attock 43600, Pakistan.
  • Kwak D; Department of Computer Science, Kean University, Union, NJ 07083, USA. dkwak@kean.edu.
Sensors (Basel) ; 19(13)2019 Jul 09.
Article em En | MEDLINE | ID: mdl-31323933
The paper proposes a sensors platform to control a barrier that is installed for vehicles entrance. This platform is automatized by image-based license plate recognition of the vehicle. However, in situations where standardized license plates are not used, such image-based recognition becomes non-trivial and challenging due to the variations in license plate background, fonts and deformations. The proposed method first detects the approaching vehicle via ultrasonic sensors and, at the same time, captures its image via a camera installed along with the barrier. From this image, the license plate is automatically extracted and further processed to segment the license plate characters. Finally, these characters are recognized with the help of a standard optical character recognition (OCR) pipeline. The evaluation of the proposed system shows an accuracy of 98% for license plates extraction, 96% for character segmentation and 93% for character recognition.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article