Chakrabarty, AmitabhaDeb, Bulbul GulzerSaha, BadhanHossain, Md. JunayedKhan, Salman SamiSaad, Farshid2025-09-292025-09-2920202020-10ID 16301144ID 16101168ID 16301204ID 16101170ID 16101314http://hdl.handle.net/10361/26805Cataloged from PDF version of thesis.Includes bibliographical references (pages 57-59).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020.Automatic license plate detection and recognition has become one of the obligatory components in the field of smart traffic control systems in Bangladesh. However, Automatic License Plate Recognition (ALPR) can also be bene cial for parking lot management systems, detecting stolen vehicles, toll management systems, nding convicted vehicles, which are involved in road related violations etc., and other purposes. In order to ease the smart tra c control system, the license plate detection and recognition process needs to be very e cient.Various methods have already been introduced in order to make the detection and recognition process e cient. Since there have been very few works conducted on Bangla license plates, these methods are not quite e cient due to wide variation in Bangla license plates. Therefore, we have developed a new method using multiple algorithms to increase the e - ciency of detection and recognition process. Our proposed method is composed of three stages which are Detection, Segmentation and Recognition likewise most of the conventional license plate recognition systems. We have applied di erent ex- isting algorithms such as Canny edge detection algorithm, Otsu image binarization algorithm etc. in di erent stages. We have achieved an accuracy of around 95% by using our proposed method.72 pagesenBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.License plate detectionAutomatic license plate recognitionNeural networksALPRParking managementSmart traffic control systemNeural networks (Computer science).Pattern recognition systems.Image processing.Computer vision.Automobile license plates--Data processing.Automobile license plates--Identification.Thesis