A Novel Morphological Method for Detection and Recognition of Vehicle License Plates

Abstract

<b>Problem statement:</b> License plate detection and recognition is an image-processing technique used to identify a vehicle by its license plate. This notable technology has got multiple applications in various traffic and security cases. To name but a few, toll roads, border control, security and car tracking are same of its applications. The main stage is the isolation of the license plate, from the digital image of the car obtained by a digital camera under different circumstances such as illumination, slop, distance and angle. <b>Approach:</b> This study presented a novel method of identifying and recognizing license plates based on the morphology and template matching. The algorithm started with reprocessing and signal conditioning. Next license plate is localized using morphological operators. Then a template matching scheme will be used to recognize the digits and characters within the plate. <b>Results:</b> The system was tested on Iranian car plate images and the performance was 97.3% of correct plates identification and localization and 92% of correct recognized characters. The results regarding the complexity of the problem and diversity of the test cases showed the high accuracy and robustness of the proposed method. The method could also be applicable for other applications in the transport information systems, where automatic recognition of registration plates, shields, signs and so on is often necessary. <b>Conclusion:</b> This system was customized for the identification of Iranian license plates. The results showed that this algorithm performs well on different types of vehicles including Iranian car and motorcycle plates as well as diverse circumstances. We believe that this system can be redesigned and tested for multi national car license plates in the future time regarding their own attributes

Precise 2-step segmentation of corrupted characters in License Plate Recognition applications

“…Most of these have been well studied and solved -to some extent -in previous works [1][2][3][4][5][6]. Among these, problems concerning the segmentation phase are of special importance, since they produce the inputs to the character recognition unit [8].…”

Application of the Face Recognition Procedure in Citizenship and Immigration Management System

“…Equation 3 illustrates the dilation operation, where A and B are the image and the structuring element respectively. [3] { }…”

“…Morphology is a technique in image processing based on shapes [3,4]. Mathematical morphology is a powerful tool for image analysis based on neighborhood operations.…”

A Result Analysis of Localization of License Plate Number Using Dynamic Image Processing Techniques and Genetic Algorithms

“…This License Plate Recognition (LPR) plays an important role in numerous applications such as unattended parking lots [1], security control of restricted areas [5], and traffic safety enforcement [8], [9]. This task is quite challenging due to the diversity of plate formats and the non-uniform outdoor illumination conditions during image acquisition, such as backgrounds [2], [10], illumination vehicle speeds and distance ranges between the camera and the vehicle.…”