Automatic License Plate Recognition (ALPR): A State-of-the-Art Review

Du, Shan; Ibrahim, Mohammed; Shehata, Mohamed; Badawy, W.

doi:10.1109/tcsvt.2012.2203741

Cited by 653 publications

(305 citation statements)

References 97 publications

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“…-Recognition service: The recognition service provides functions to identify objects in a video stream. Objects appeared in video streams which could be detected by this service are, for example, human faces [22], animals [23], vehicle license plates [24], and events (e.g., fire and flood [25]). -Analytics service: The (video) analytics service mainly provides surveillance functions to automatically detect events.…”

Section: Cloud Services Layermentioning

confidence: 99%

Cloud-Based Video Monitoring Framework: An Approach Based on Software-Defined Networking for Addressing Scalability Problems

Sandar

Chaisiri

Yongchareon

et al. 2015

Lecture Notes in Computer Science

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Abstract. Closed-circuit television (CCTV) and Internet protocol (IP) cameras have been applied to a surveillance or monitoring system, from which users can remotely monitor video streams. The system has been employed for many applications such as home surveillance, traffic monitoring, and crime prevention. Currently, cloud computing has been integrated with the video monitoring system for achieving value-added services such as video adjustment, encoding, image/video recognition, and backup services. One of the challenges in this integration is due to the size and geographical scalability problems when video streams are transferred to and retrieved from the cloud services by numerous cameras and users, respectively. Unreliable network connectivity is a major factor that causes the problems. To deal with the scalability problems, this paper proposes a framework designed for a cloud-based video monitoring (CVM) system. In particular, this framework applies two major approaches, namely stream aggregation (SA) and software-defined networking (SDN). The SA approach can reduce the network latency between cameras and cloud services. The SDN approach can achieve the adaptive routing control which improves the network performance. With the SA and SDN approaches applied by the framework, the total latency for transferring video streams can be minimized and the scalability of the CVM system can be significantly enhanced.

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Section: Cloud Services Layermentioning

confidence: 99%

Cloud-Based Video Monitoring Framework: An Approach Based on Software-Defined Networking for Addressing Scalability Problems

Sandar

Chaisiri

Yongchareon

et al. 2015

Lecture Notes in Computer Science

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show abstract

“…License Plate Detection (LPD) has been considered as the most important and essential phase of VLPR systems, which is directly influences the success and the accuracy of VLPR systems [3,4]. For that, LPD requires more attention; moreover detecting a license plate on a complex background is a difficult task.…”

Section: Introductionmentioning

confidence: 99%

“…For that, LPD requires more attention; moreover detecting a license plate on a complex background is a difficult task. Thus there are many factors should be considered in order to successfully detect and extract the license plate, for example: image quality, different plate sizes and designs, plate location and Background details and complexity [3].…”

Section: Introductionmentioning

confidence: 99%

A Method for Sudanese Vehicle License Plates Detection and Extraction

Bagabir¹,

Elhafiz²

2016

IJCATR

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License Plate Detection and Extraction is an important phase of Vehicle License Plate Recognition systems, which has been an active research topic in the computer vision domain in order to identify vehicles by their license plates without direct human intervention. This paper presents a simple, fast and automatic License Plate Detection method for the current shape of Sudanese license plate. The proposed method involves several steps: green channel extraction, edge detection, regions of interest selection, dilation operation with especial structural element and connected component analysis. In order to analyze the performance and efficiency of the proposed method a data set for Sudanese vehicles has been created. Using this new data set, number of experiments has been carried out. Comparing with other countries license plate detection the achieved results is satisfactory.

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“…A reasonably high accuracy of 97.33% in detection has been reported for this scheme. However, according to Du et al [7], these methods are sensitive to the noise level and the complexity of the background in images. In other approaches, the plate's color is used to locate it.…”

Section: Introductionmentioning

confidence: 99%

“…Many researchers such as Wei-Gang et al [10] and Badawy et al [7] believe that the license plate color can be used to extract the plate region from the image. On the other hand, Badawy et al [7] believe that the existence of characters in the license plate can be used as a feature in the localization stage and two or more features may be used in this stage for higher accuracy in localization.…”

Section: Introductionmentioning

confidence: 99%

Robust Search-Free Car Number Plate Localization Incorporating Hierarchical Saliency

Safaei¹,

HL²

2016

J Comput Sci Syst Biol

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There are two major shortcomings associated with presently implemented automatic license plate recognition (ALPR) systems: first, processing images with complex background is time-consuming and second, the results are not sufficiently accurate. To overcome these problems and also to achieve a robust recognition of multiple car number plates, saliency detection based on the ALPR system is used in this paper and also an improved and more effective definition of saliency is presented. In this new approach, the notion of the directionality of the edges using Gabor filtering and the detection of the patterns of numbers using L1-norm have been added to the traditional saliency detection method. The proposed algorithm was tested on 660 images; some consisting of two or more cars. A detection accuracy of 94.77% and an average execution time of 40 ms for 600 × 800 images are the marked outcomes. The proposed SB-ALPR method outperforms most of the state of the art techniques in terms of execution time and accuracy, and can be used in real-time applications. Also, unlike some recently introduced saliency-based ALPR methods, our two-stage saliency detection approach exploits smaller numbers of sample sizes to reduce the computation cost

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Automatic License Plate Recognition (ALPR): A State-of-the-Art Review

Cited by 653 publications

References 97 publications

Cloud-Based Video Monitoring Framework: An Approach Based on Software-Defined Networking for Addressing Scalability Problems

Cloud-Based Video Monitoring Framework: An Approach Based on Software-Defined Networking for Addressing Scalability Problems

A Method for Sudanese Vehicle License Plates Detection and Extraction

Robust Search-Free Car Number Plate Localization Incorporating Hierarchical Saliency

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