Improved ALPR system based on Smart License Plate Character Detection Algorithm
نویسندگان
چکیده
منابع مشابه
Iranian 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 کاملLicense Plate Character Recognition
License plate character recognition is an integral part in Intelligent Transportation Systems. Traditional methods used for number plate recognition were OCR, Optical Character Recognition and Formula Based Recognition. As Neural Network is an intelligence engine, it ensures greater accuracy rate along with better recognition speed. In this system, recognition is done with the help of Neural Ne...
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Automatic license plate recognition (ALPR) is one of the most important aspects of applying computer techniques towards intelligent transportation systems. In order to recognize a license plate efficiently, however, the location of the license plate, in most cases, must be detected in the first place. Due to this reason, detecting the accurate location of a license plate from a vehicle image is...
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Character segmentation is an important step in License Plate Recognition (LPR) system. There are many difficulties in this step, such as the influence of image noise, plate frame, rivet, the space mark, and so on. This paper presents a new algorithm for character segmentation, using Hough transformation and the prior knowledge in horizontal and vertical segmentation respectively. Furthermore, a...
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The aim of this work is to develop a multi-style license plate recognition (LPR) system. Most of the LPR systems are countrydependent and take advantage of it. Here, a new character extraction algorithm is proposed, based on the tree of shapes of the image. This method is well adapted to work with different styles of license plates, does not require skew or rotation correction and is parameterl...
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ژورنال
عنوان ژورنال: IJARCCE
سال: 2015
ISSN: 2278-1021
DOI: 10.17148/ijarcce.2015.412133