Please use this identifier to cite or link to this item:
https://ptsldigital.ukm.my/jspui/handle/123456789/578222
Title: | Identification of vehicle plate number using optical character recognition: a mobile application |
Authors: | Haslina Arshad (UKM) Rimaniza Zainal Abidin (UKM) Waqas Khalid Obeidy (UKM) |
Keywords: | Database management system Number plate recognition Optical Character Recognition |
Issue Date: | Jun-2017 |
Description: | Resident’s vehicles in some institutions have to be registered to maintain traffic safety. Penalties should be imposed if residents break traffic rules. Most of the time, the vehicle owner’s information is difficult to access making the penalty registration process complicated. An effective penalty registration process is required to make the process easier for security officers to give notice to the residents who have committed traffic offenses. A mobile application is proposed to recognize vehicle owner information. The proposed application uses optical-character-recognition (OCR) technologies that can facilitate the process of recognizing vehicle’s registration number in order to obtain owner information and use the information to enrol the penalty. The proposed application recognizes the vehicle registration number or sticker serial number to access the owner information. For evaluation of the proposed application, a user study was conducted by asking the users to use the application and answer the questiuonnaire. The findings revealed that average score of 77 of the respondents agree in terms of satisfaction and adoption of the application to be utilized in some institutions. The proposed application reduces the paper work of security officers and makes them more efficient. |
News Source: | Pertanika Journals |
ISSN: | 0128-7680 |
Volume: | 25 |
Pages: | 173-180 |
Publisher: | Universiti Putra Malaysia Press |
Appears in Collections: | Journal Content Pages/ Kandungan Halaman Jurnal |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ukmvital_115750+Source01+Source010.PDF | 687.94 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.