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Artificial neural networks based vehicle license plate recognition

H. Erdinc Kocer, K. Kursat Cevik
2011 Procedia Computer Science  
To deal with this problem, computer based automatic control systems are being developed. One of these systems is automatic vehicle license plate recognition system.  ...  In this work, the automatic vehicle license plate recognition system based on artificial neural networks is presented. In this system, 259 vehicle pictures were used.  ...  To supply this necessity, computer based automatic vehicle license plate recognition systems are being developed recently.  ... 
doi:10.1016/j.procs.2010.12.169 fatcat:7yvmjbm7fjc33humykfapxucyu

License Plate Recognition System using Neural Networks and Multithresholding Technique

Bharat Bhushan, Simranjot Singh, Ruchi Singla
2013 International Journal of Computer Applications  
Certain problems related to neural networks in the previous research methodology such as blobs extraction, segmentation and character recognition, that inhibit complete extraction of features from number  ...  For recognition and extraction of desired regions of the number plate of the vehicle, different algorithms are used.  ...  Blob extraction method Blob extraction method is commonly used to remove the segmentation problem so that the characters or digits in the number plate are not combined together.  ... 
doi:10.5120/14576-2704 fatcat:c4hrlkxrlze73nv4hgdbptl2cy

Automatic Number Plate Recognition System (ANPR): A Survey

Chirag Patel, Dipti Shah, Atul Patel
2013 International Journal of Computer Applications  
Therefore, there is a need to develop Automatic Number Plate Recognition (ANPR) system as a one of the solutions to this problem. There are numerous ANPR systems available today.  ...  These systems are based on different methodologies but still it is really challenging task as some of the factors like high speed of vehicle, non-uniform vehicle number plate, language of vehicle number  ...  In [44] DT-CNN and classifier combining based VIPUR system (Vehicle Identification on PUblic Roads) is described. The system does automatic recognition of license plate for toll collection.  ... 
doi:10.5120/11871-7665 fatcat:h7gg2ruutrhx3ebpl3rsmxmq3a

Determining adaptive thresholds for image segmentation for a license plate recognition system

Siti Norul, Khairuddin Omar, Khairuddin Omar, Abbas Salimi, Maria Petrou, Marzuki Khalid
2016 International Journal of Advanced Computer Science and Applications  
This paper describe an adaptive threshold for image segmentation applied to a system for Malaysian intelligent license plate recognition (MyiLPR).  ...  Upon receiving the input car image, this system (MyiLPR) detects and segments the license plate based on proposed adaptive threshold via image and blob histogram, and blob agglomeration, and finally, it  ...  TABLE IV : IV Blob error analysis for Local Entropy, Otsu, Fixed, Multilevel and the proposed framework based on correctly segmented and correctly recognised characters.  ... 
doi:10.14569/ijacsa.2016.070667 fatcat:mnpe5hdsxrfvngdhq54daxzeuy

Noise Removal and Blob Detection Approach for Number Plate Identification

Reshma P.
2012 International Journal of Computer Applications  
Noise removal method is used to pre process the input image and blob detection method is used to localize and segment Indian number plates.  ...  The segmented characters on the number plate region are compared with the previously stored character database and finally approve authentication or access permission for different vehicles.  ...  The algorithm defines an aspect ratio based elimination method which helps in extracting only the needed number plate region from the blobs being identified. All other blobs are being discarded.  ... 
doi:10.5120/7207-9992 fatcat:g6vtamsz3zcb3g3ey3ktm7xxqe

Identification of Vehicle by Number Plate Recognition Using Genetic Algorithm
IJARCCE - Computer and Communication Engineering

Samira Nigrel, Akash Ashokan, Bidisha Barua, Slesha Patil, Vaibhavi Patil
2015 IJARCCE  
And finally genetic algorithm is used for recognition of plate characters. For vehicle size detection blob detection method is used and for theft detection number plates are matched.  ...  For extracting the plate region, edge detection algorithms and smearing algorithms are used. In segmentation part, smearing algorithms, filtering and some morphological algorithms are used.  ...  In this paper, the proposed algorithm is based on extraction of plate region, segmentation of plate characters and recognition of characters. Extraction of plate is a difficult task.  ... 
doi:10.17148/ijarcce.2015.4238 fatcat:6qvuydsixnc4jga5mh27edp3wm

Automatic Number Plate Extraction: A Review

Harkamaljeet Kaur, Dr. Lakhwinder Kaur
2016 International Journal of Engineering Research and  
Number plate extraction is real life research area in the field of image processing for automatic vehicle identification.  ...  Although there are numerous of number plate extracting systems available today based on different methodologies but still it is a challenging task to make an intelligent system that can be successfully  ...  As the use of vehicles is increasing every day so there is need for automatic number plate extraction system. It can be used to monitor traffic, at parking, vehicle control, toll systems etc.  ... 
doi:10.17577/ijertv5is020438 fatcat:uasczfvbrzborio4zreuvnk5iq

Indonesian license plate recognition based on area feature extraction

Fitri Damayanti, Sri Herawati, Imamah Imamah, Fifin Ayu M, Aeri Rachmad
2018 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
This research will provide a system which can be implemented to the automatic payment in highway. Indonesian license plate consists of two parts, every of which has certain characters.  ...  These characters may become problem in the recognition process. Another problem is on the type of the license plate since Indonesia applies different color for every type of vehicle.  ...  Character : 92.72% Detection : 99.44% License Plate : 60% Indonesian license plate recognition based on area feature extraction (FitriDamayanti) TELKOMNIKA ISSN: 1693-6930   ... 
doi:10.12928/telkomnika.v17i2.9017 fatcat:qim6tynhlncvxhvfvph4zwy5ki

Multi-Threshold Approach For License Plate Recognition System

Siti Norul Huda Sheikh Abdullah, Farshid Pirahan Siah, Nor Hanisah Haji Zainal Abidin, Shahnorbanun Sahran
2010 Zenodo  
Due to the different types of license plates being used, the requirement of an automatic LPR is rather different for each country. The proposed technique is applied on Malaysian LPR application.  ...  Further improvement on this method is in progress to accommodate real time system specification.  ...  An automatic LPR system is first required to identify the location of the license plate in a captured image and to recognize correctly the license plate characters and numbers.  ... 
doi:10.5281/zenodo.1330677 fatcat:ipcc5e7xkjatrjgrsocnwcnr4m

A Review Report on Localization of License Number Plate using Processing of Active Image and Genetic Algorithms Technique

Ritika Joshi, Deepak Kourav
2017 IARJSET  
Automatic license plate recognition (ALPR) is to extract vehicle license plate information from an image or a sequence of images.  ...  This study proposes a license plate based strategy for checking the annual inspection standing of motorcycles from images taken on the wayside and at selected inspection stations.  ...  Shan Du et. al [2] "Automatic License Plate Recognition (ALPR): A State-of-the-Art Review" Automatic license plate recognition (ALPR) is the extraction of vehicle license plate info from a picture or  ... 
doi:10.17148/iarjset.2017.4125 fatcat:4j52udnuhrgrpd7qbv4erllzaa


M.Anto Bennet, B. Thamilvalluvan, Priyanka Paree Alphonse, D.R. Thendralarasi, K. Sujithra
2017 International Journal on Smart Sensing and Intelligent Systems  
Automatic license plate recognition (ALPR) is the extraction of vehicle license plate information from an image. The system model uses already captured images for this recognition process.  ...  First the recognition system starts with character identification based on number plate extraction, Splitting characters and template matching.  ...  Existing System In order to segment the characters in the binary license plate image the method named peak-to-valley is used.  ... 
doi:10.21307/ijssis-2017-255 fatcat:lbzmfi5p7bahpjctjw2vxvreiu

Detection and Recognition of Malaysian Special License Plate Based On SIFT Features [article]

Hooi Sin Ng, Yong Haur Tay, Kim Meng Liang, Hamam Mokayed, Hock Woon Hon
2015 arXiv   pre-print
Automated car license plate recognition systems are developed and applied for purpose of facilitating the surveillance, law enforcement, access control and intelligent transportation monitoring with least  ...  In this paper, an algorithm based on SIFT feature points clustering and matching is proposed to address the issue of recognizing Malaysian special plates.  ...  Template based method [8] [9] [10] [11] is the typical method used in character recognition. The method compares the segmented characters with stored templates.  ... 
arXiv:1504.06921v1 fatcat:smiixb334bhtzpzgapeawhttam

A License Plate Reader using AVR Microcontroller

Trishala Chougule, Saniya Ansari
2015 International Journal of Computer Applications  
This Proposed system consist tree steps, first is extraction of license plate from a captured image by camera. Second step is segmentation of the character from number plate and extract.  ...  For recognition we used the template matching by cross correlation between extracted character and database.  ...  Artificial neural networks based vehicle license plate recognition[4] Canny edge detector and Gaussian Filter for extraction the number plate and for segmentation blob (Binary Large Object) coloring algorithm  ... 
doi:10.5120/19906-2041 fatcat:ietiyg6nzngnlat2pkvg55nwli

Character Recognition from Virtual Scenes and Vehicle License Plates Using Genetic Algorithms and Neural Networks [chapter]

Stephen Karungaru, Kenji Terada, Minoru Fukumi
2012 Advances in Character Recognition  
In this chapter, we present a character recognition method for virtual scenes (air characters) and vehicle number plate recognition using neural networks and evolutionary computation.  ...  We combine neural networks learning, image processing and template matching to create a novel character recognition system.  ...  Examples include a wavelet transform based method for extracting license plates from cluttered images achieving a 92.4% accuracy [2] and a morphology-based method for detecting license plates from cluttered  ... 
doi:10.5772/51473 fatcat:3jtb5pxblnakbdflm4cc2xlbdi


Rinku Solanki .
2013 International Journal of Research in Engineering and Technology  
Automatic license plate recognition (ALPR) applies image processing and character recognition technology to identify vehicles by automatically reading their number plates.  ...  Final output it is proved to be %97.6 for the extraction of plate region, %96 for the segmentation of the characters and %98.8 for the recognition unit accurate, giving the overall system performance %  ... 
doi:10.15623/ijret.2013.0202016 fatcat:rogxytkmnzbjbic2x5syshrwa4
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