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Bangladeshi Vehicle License Plate Detection and Recognition

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dc.contributor.author Hasan, Md. Mehedi
dc.contributor.author Das, Anik Kumar
dc.contributor.author Alam, Md. Zahid
dc.date.accessioned 2022-09-13T06:05:50Z
dc.date.available 2022-09-13T06:05:50Z
dc.date.issued 2019-12-24
dc.identifier.uri http://dspace.ewubd.edu:8080/handle/123456789/3727
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh. en_US
dc.description.abstract recognition (OCR) to identify vehicles using their license plate. In this project, an algorithm has been proposed to detect and read Bengali license plate. Nowadays automatic vehicle monitoring system has drawn the importance due to maintain numerous traffic that are increasing rapidly in Bangladesh. Every vehicle has unique identification (license plate).So it is very easy and simple task to track and monitor any particular vehicle using their license plate. Because it is an automatic system that save a lot of time and workers instead of tracking and monitoring manually. For these purpose Automatic Number Plate Recognition (ANPR) is designed and developed. Automatic Number plate Recognition plays a vital part for controlling and managing vehicle and vehicle related works. This automatic detection system can be efficient for toll collection system, vehicle parking system, traffic control system, vehicle-tracking system, finding lost vehicle as well as detecting guilty vehicle involved in crime for police etc. There are mainly two types license plate exist in Bangladeshi Vehicle. The green background license plate is for commercial use and the white background license plate is for personal used vehicle. These license plates have four major part ordering in two line. First line describes the area name and type of vehicle and the second line describes vehicle class and registration number. Many approaches are used for ANPR but it needs a simple method with low complexity for detecting vehicle as fast as possible. This algorithm has three major steps- detection, segmentation and recognition. For detection firstly, it uses the feature of Haar Cascade, which is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is used to detect objects in other images. It is well known for being able to detect faces and body parts in an image, but can be trained to identify almost any object. Then boundary box approach is use to segment these characters separately for area name, type, class and registration number and convert to text file from image. Finally, with the help of Template matching algorithm it recognizes the word and number used in Bengali license plate. This system has less complexity and high efficiency for number plate detection and recognition. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;CSE00211
dc.subject Vehicle License Plate Detection and Recognition en_US
dc.title Bangladeshi Vehicle License Plate Detection and Recognition en_US
dc.type Thesis en_US


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