Universiti Teknologi Malaysia Institutional Repository

Hardware-accelerated localization for automated license plate recognition system

Chin, Teck Loong (2014) Hardware-accelerated localization for automated license plate recognition system. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.


Official URL: http://dms.library.utm.my:8080/vital/access/manage...


Automatic License Plate Recognition (ALPR) is a continuous process of extracting license plate information from a series of input images. Localization is an imperative stage in ALPR system because it extracts the sub image which contains the potential license plate for subsequent processing. Many ALPR systems are designed to operate on general purpose processor, in which the low degree of instruction and data level parallelism is not maximized, resulting in lower efficiency. Also, current ALPR system in the market is not modular and generalized to cater license plates from different nations with different languages and standards. This project proposes a multi-feature extraction algorithm for license plate localization catering various plate and environment variation factors, as well as hardware architecture to implement the algorithm with full modularity baseline. The proposed hardware architecture has been successfully modelled and implemented using System Verilog. It achieves an average speed up of 222x across different test images compared to software-based algorithm and 100% matching the localization accuracy in software.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Kejuruteraan (Elektrik - Komputer dan Sistem Mikroelektronik)) - Universiti Teknologi Malaysia, 2014; Supervisor : Assoc. Prof. Dr. Muhammad Nadzir Marsono
Uncontrolled Keywords:automated license plate, software, cater license plates
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineer. Computer hardware
Divisions:Electrical Engineering
ID Code:48758
Deposited On:29 Oct 2015 06:40
Last Modified:23 Jun 2020 08:01

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