Designing License Plate Identification through Digital Images with OpenCV

Komarudin, Abdillah; Satria, Ahmad Teguh; Atmadja, Wiedjaja

doi:10.1016/j.procs.2015.07.517

Cited by 8 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We implement the system by using OpenCV and Tensorflow, where OpenCV is an image processing tool and Tensorflow is a deep learning tool. [14][15][16][17][18] The implementation result shows that the intelligent grading system can batch grading efficiently. Besides, compared with related designs, the proposed system is more flexible and intelligent.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Intelligent grading system based on deep learning

Xiao

2021

International Journal of Electrical Engineering & Education

View full text Add to dashboard Cite

According to the survey, off-line examination is still the main examination method in universities, primary and secondary schools. The grading processing of off-line examination is time-consuming. Besides, since the off-line grading is subjective, it is error-prone. In order to address the challenges in off-line examinations of universities, primary and secondary schools, it is very urgent to improve the efficiency of off-line grading. In order to realize intelligent grading for off-line examinations, we exploit deep learning techniques to off-line grading. First, we propose an image processing method for English letters. Second, we propose a image recognition method based on deep learning for English letters. Third, we propose a lightweight framework for grading. Based on the above designs, we design an intelligent grading system based on deep learning. We implement the system and the result shows that the intelligent grading system can batch grading efficiently. Besides, compared with related designs, the proposed system is more flexible and intelligent.

show abstract

Section: Introductionmentioning

confidence: 99%

RETRACTED: Intelligent grading system based on deep learning

Xiao

2021

International Journal of Electrical Engineering & Education

View full text Add to dashboard Cite

show abstract

“…Mainly in the OpenCV-based approach has been used as a method of number plate extraction and number plate recognition [4]. In that paper, the rst image has captured the image of the vehicle is captured and then resizing the image to the preferred size and bringing the image to grayscale is performed.…”

Section: A License Plate Identi Cationmentioning

confidence: 99%

Novel and Real-Time GPU Accelerated Speed Violation Detection and License Plate Identification System

Dampage

Hasantha

Gimhana

et al. 2021

Preprint

View full text Add to dashboard Cite

Commuters lose a lot of time and effort due to the inefficiency of traffic management. Although nowadays most of the processes are automated, it seems a speed violation detection is the least focused area apart from using speed guns which the RADAR may make mistakes and yet, doing such will benefit people by saving their time and let them escape from the troublesome situations. To address this issue, a real-time solution by fully automating the process of detecting the speed violation and the license plates of the offenders is proposed in this paper. A vehicle approaching a specific area will be automatically identified and tracked from a reference starting point. Within the covered range of the camera according to the traffic density present at that instance, the maximum speed for a vehicle is estimated and the vehicles that exceed the stipulated limit are identified as a violation. The core part of the proposed system is license plate recognition. To properly extract the license plate with the best view to proceed with the identification process is another problem that needs to be focused on. We utilized deep neural networks in a novel way for the aforesaid purpose. As these neural networks consist of numerous parameters, we utilized GPU for processing to gain smoothness in real-time. Using our novel segmentation free license plate identification method which utilizes object detection principle to fully capture the speed violation along with its offender. Numerous field trials proved that the proposed methodology provides far superior performance levels compared to the conventional systems and the other existing methodologies, which will certainly cater to the demanding requirements of Transportation 4.0.

show abstract

“…Journal Homepage: https://www.iaescore.com/journals/index.php/IJEECS ISSN: 2502-4752 Komarudin et al [3] designed and analyzed the license plate identification through a digital images using desktop peripheral and binary calculation methods using adaptive threshold and global threshold. Kongurgsa et al [11] proposed real-time intrusion, detecting and alert system by image processing techniques.…”

Section: Analysis and Study Of System 21 Existing Systemmentioning

confidence: 99%

“…In image processing, computer vision and pattern recognition algorithms, segmentation is most important and basic step [1,2]. Segmentation of image is the first step which has large application in the fields of robotics, automations, satellite imaging and license plate recognition [3,4]. Now-a-days, the license plate recognition is widely used in the management of traffic to recognize a vehicle whose licensor violates the traffic rules and it also helps in finding the theft vehicles it doesn't needs any manual work.…”

Section: Introductionmentioning

confidence: 99%

Automated parking management system for identifying vehicle number plate

Singh¹,

Vaidya²

2019

IJEECS

View full text Add to dashboard Cite

<p>By using image processing, the Automated parking management system (APMS) to recognize the license plate number for efficient management of vehicle parking and vehicle billing. It is an independent real-time system, reduces number of people involvement in parking areas. The main aim of this system is to automated payment collection. This (APMS) system extract and recognize license plate numbers from the vehicles, then that image is being processed and used to generate an electronic bill. Generally in the parking lots heavy labor work is needed. This system used to decrease the cost of the labor and also enhance the performance of the APMS. This system is composed of vehicles license plate number extraction, character segmentation and character recognition. A proper pre-processing is done before extracting the license plate and it also generates the entry time and exit time of the vehicle and finally generates the electronic bill.</p>

show abstract

Designing License Plate Identification through Digital Images with OpenCV

Cited by 8 publications

References 3 publications

RETRACTED: Intelligent grading system based on deep learning

RETRACTED: Intelligent grading system based on deep learning

Novel and Real-Time GPU Accelerated Speed Violation Detection and License Plate Identification System

Automated parking management system for identifying vehicle number plate

Contact Info

Product

Resources

About