AUTOMATION NUMBER PLATE RECOGNIZATION WITH OPTICAL CHARACTER RECOGNIZATION (KEY IJP************919)

• Banupriya A,Aarthi V,Elavarasan K

Abstract

Automatic Number Plate Recognition (ANPR) is an image processing technology which uses number (license) plate to identify the vehicle. The objective is to design an efficient automatic authorized vehicle identification system by using the vehicle number plate. The system is implemented on the entrance for security control of a highly restricted area like military zones or area around top government offices e.g. Parliament, Supreme Court etc. The developed system first detects the vehicle and then captures the vehicle image. Vehicle number plate region is extracted using the image segmentation in an image. Optical character recognition technique is used for the character recognition. The resulting data is then used to compare with the records on a database so as to come up with the specific information like the vehicles owner, place of registration, address, etc. The system is implemented and simulated in Matlab, and it performance is tested on real image. It is observed from the experiment that the developed system successfully detects and recognize the vehicle number plate on real images. Engine In most parts of the world, it has been established that breaking traffic laws is a significant factor in road accidents. It mostly happens in developing nations. Despite the laws governing traffic, a rising number of people continue to violate them. This is because the authorized authorities in various regions of the world do not properly enforce the rules. As a result, a mechanism must be created to help law enforcement authorities enforce these regulations in order to increase road safety and decrease accidents. This work makes use of a real-time embedded technology called a Vehicle Plate Number Recognition (VNPR) system to automatically identify license plate numbers. By utilizing the OpenCV open-source library, it offers a VPNR substitute. The system's primary goal is to employ image processing to identify automobiles that are breaking the law by their license plate numbers. INTRODUCTIONAUTOMATIC NUMBER PLATE RECOGNITION SYSTEM FOR VEHICLE IDENTIFICATION USING OPTICAL CHARACTER RECOGNITION Muhammad Tahir Qadri Department of Electronic Engineering, Sir Syed University of Engineering & Technology, Karachi, Pakistan mtahirq@hotmail.com Muhammad Asif Department of Electronic Engineering, Sir Syed University of Engineering & Technology, Karachi, Pakistan masif.ssuet@gmail.com AbstractAutomatic Number Plate Recognition (ANPR) is an image processing technology which uses number (license) plate to identify the vehicle. The objective is to design an efficient automatic authorized vehicle identification system by using the vehicle number plate. The system is implemented on the entrance for security control of a highly restricted area like military zones or area around top government offices e.g. Parliament, Supreme Court etc. The developed system first detects the vehicle and then captures the vehicle image. Vehicle number plate region is extracted using the image segmentation in an image. Optical character recognition technique is used for the character recognition. The resulting data is then used to compare with the records on a database so as to come up with the specific information like the vehicles owner, place of registration, address, etc. The system is implemented and simulated in Matlab, and it performance is tested on real image. It is observed from the experiment that the developed system successfully detects and recognize the vehicle number plate on real images. Keywords- Number Plate Recognition; vehicle identification; optical character recognition; Character Recognition I. INTRODUCTION The Automatic Number Plate Recognition (ANPR) was invented in 1976 at the Police Scientific Development Branch in the UK. However, it gained much interest during the last decade along with the improvement of digital camera and the increase in computational capacity. It is simply the ability to automatically extract and recognition a vehicle number plates characters from an image. In essence it consists of a camera or frame grabber that has the capability to grab an image, find the location of the number in the image and then extract the characters for character recognition tool to translate the pixels into numerically readable character. ANPR can be used in many areas from speed enforcement and tool collection to management of parking lots, etc 1. It can also be used to detect and prevent a wide range of criminal activities and for security control of a highly restricted areas like military zones or area around top government offices. The system is computationally inexpensive compare to the other ANPR systems 25. Besides the robustness, the earlier methods use either feature based approached using edge detection or Hough transform which are computationally expensive or use artificial neural network which requires large training data 234. TheAUTOMATIC NUMBER PLATE RECOGNITION SYSTEM FOR VEHICLE IDENTIFICATION USING OPTICAL CHARACTER RECOGNITION Muhammad Tahir Qadri Department of Electronic Engineering, Sir Syed University of Engineering & Technology, Karachi, Pakistan mtahirq@hotmail.com Muhammad Asif Department of Electronic Engineering, Sir Syed University of Engineering & Technology, Karachi, Pakistan masif.ssuet@gmail.com AbstractAutomatic Number Plate Recognition (ANPR) is an image processing technology which uses number (license) plate to identify the vehicle. The objective is to design an efficient automatic authorized vehicle identification system by using the vehicle number plate. The system is implemented on the entrance for security control of a highly restricted area like military zones or area around top government offices e.g. Parliament, Supreme Court etc. The developed system first detects the vehicle and then captures the vehicle image. Vehicle number plate region is extracted using the image segmentation in an image. Optical character recognition technique is used for the character recognition. The resulting data is then used to compare with the records on a database so as to come up with the specific information like the vehicles owner, place of registration, address, etc. The system is implemented and simulated in Matlab, and it performance is tested on real image. It is observed from the experiment that the developed system successfully detects and recognize the vehicle number plate on real images. Keywords- Number Plate Recognition; vehicle identification; optical character recognition; Character Recognition I. INTRODUCTION The Automatic Number Plate Recognition (ANPR) was invented in 1976 at the Police Scientific Development Branch in the UK. However, it gained much interest during the last decade along with the improvement of digital camera and the increase in computational capacity. It is simply the ability to automatically extract and recognition a vehicle number plates characters from an image. In essence it consists of a camera or frame grabber that has the capability to grab an image, find the location of the number in the image and then extract the characters for character recognition tool to translate the pixels into numerically readable character. ANPR can be used in many areas from speed enforcement and tool collection to management of parking lots, etc 1. It can also be used to detect and prevent a wide range of criminal activities and for security control of a highly restricted areas like military zones or area around top government offices. The system is computationally inexpensive compare to the other ANPR systems 25. Besides the robustness, the earlier methods use either feature based approached using edge detection or Hough transform which are computationally expensive or use artificial neural network which requires large training data 234. TheThe Automatic Number Plate Recognition (ANPR) was invented in 1976 at the Police Scientific Development Branch in the UK. However, it gained much interest during the last decade along with the improvement of digital camera and the increase in computational capacity. It is simply the ability to automatically extract and recognition a vehicle number plates characters from an image. In essence it consists of a camera or frame grabber that has the capability to grab an image, find the location of the number in the image and then extract the characters for character recognition tool to translate the pixels into numerically readable character. ANPR can be used in many areas from speed enforcement and tool collection to management of parking lots, etc 1. It can also be used to detect and prevent a wide range of criminal activities and for security control of a highly restricted areas like military zones or area around top government offices. The system is computationally inexpensive compare to the other ANPR systems 25. Besides the robustness, the earlier methods use either feature based approached using edge detection or Hough transform which are computationally expensive or use artificial neural network which requires large training data 234. TheThe Automatic Number Plate Recognition (ANPR) was invented in 1976 at the Police Scientific Development Branch in the UK. However, it gained much interest during the last decade along with the improvement of digital camera and the increase in computational capacity. It is simply the ability to automatically extract and recognition a vehicle number plates characters from an image. In essence it consists of a camera or frame grabber that has the capability to grab an image, find the location of the number in the image and then extract the characters for character recognition tool to translate the pixels into numerically readable character. ANPR can be used in many areas from speed enforcement and tool collection to management of parking lots, etc 1. It can also be used to detect and prevent a wide range of criminal activities and for security control of a highly restricted areas like military zones or area around top government offices. The system is computationally inexpensive compare to the other ANPR systems 25. Besides the robustness, the earlier methods use either feature based approached using edge detection or Hough transform which are computationally expensive or use artificial neural network which requires large training data 234. TheThe Automatic Number Plate Recognization (ANPR) was invented in 1976 at the Police Scientific Development Branch in the UK. However, it gained much interest during the last decade along with the improvement of digital camera and the increase in computational capacity. It is simply the ability to automatically extract and recognition a vehicle number plates characters from an image. In essence it consists of a camera or frame grabber that has the capability to grab an image,find the location of the number in the image and then extract the characters for character readable character. ANPR can be used in many areas from speed enforcement and tool collection to management of parking lots. It can be used to detect and prevent a wide range of criminal activities and for security control of highly restricted areas like military zones or area around top government offices. The system is computationally inexpensive compare to other ANPR systems. Besides Robustness, the earlier methods use either feature based approached usng edge detection or Hough transform which are computationally expensive or use artificial neural network which require large training data.The presented ANPR system is aimed to be light weighted so that it can be run real time and recognizes Sindh standard number plate under normal conditions. The ANPR system works in three steps , the first step is the detection and capturing a vehicle image, the second step is the detection and extraction of number plate in an image. The third section use image segementation technique to get individual character and optical character recognition (OCR) to recognize the individual character with the help of database stored for each and every alphanumeric character.