License Plate Detection Based on Rectangular Features and Multilevel Thresholding
نویسندگان
چکیده
Rapid advancement of technology in artificial intelligence and computer science knowledge and then feel the need to search and secure automated systems are because of the appearance of intelligent systems based on image processing and spread this knowledge. One of these intelligent systems is license plate recognition (LPR) system. LPR plays an important role in intelligent transportation system; however, plate region extraction is the key step before the final recognition. In this paper, an effective license plate extraction algorithm is proposed based on geometrical features and multilevel thresholding to identify and segment the license plate from the image. Experimental results show that the technique achieved promising accuracy.
منابع مشابه
Automatic Skew Detection and Localisation of Vehicle License Plate Using Hough Transform
Automatic Skew Detection and Localization of Vehicle License Plate Using Hough Transform are used to identify a vehicle by its number plate. The proposed algorithm consists of three major parts: Extraction of plate region, segmentation of characters and recognition of plate characters. The proposed license plate localization algorithm is based on a combination of several algorithms that include...
متن کاملIranian Vehicle License Plate Detection based on Cascade Classifier
A license plate recognition system contains three main steps: plate detection, character segmentation and character recognition. The first and foremost step of this system is the plate detection stage where the plate is located from the input image. In this paper an effective plate detection approach is developed based on a cascade classifier. A two-phase training approach is proposed to enhanc...
متن کاملA Fast and Robust License Plate Detection Algorithm Based on Two-stage Cascade AdaBoost
License plate detection (LPD) is one of the most important aspects of an automatic license plate recognition system. Although there have been some successful license plate recognition (LPR) methods in past decades, it is still a challenging problem because of the diversity of plate formats and outdoor illumination conditions in image acquisition. Because the accurate detection of license plates...
متن کاملA Location Method for Multi-style License Plates Based on Character Classification
Abstract To locate the license plate exactly is a challenging task, especially for the license plates with complex backgrounds or shadows. Firstly, we use a multilevel local adaptive thresholding method instead of global thresholding methods to produce binary images under varying illuminations. Secondly, the connected contour analysis is applied to extract the main characters, and the false cha...
متن کاملVehicle License Plate Recognition Based on Hierarchical Approach
In order to accurately detect the various sizes of vehicle license plates which are included in input image, we introduce hierarchical approach and overlapped partitioning technique in this paper. The proposed approach firstly attempts the license plate detection for entire image. If detection is failed, the image is partitioned into 3 overlapped rectangular areas and the license plate detectio...
متن کامل