International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
AUTOMATIC NUMBER PLATE RECOGNITION SYSTEM THROUGH SMART PHONE USING IMAGE PROCESSING Ravindra Jogekar1, Anket Dhoble2, Shiwani Kakde3, Priyanka Taklikar4, Dhiraj Larokar5 1Professor,
Dept. Of Computer Science & Engineering, PJLCE, Maharashtra, India
2345Student,
Dept. Of Computer Science & Engineering, PJLCE, Maharashtra, India
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Abstract: The proposed ANPR algorithm is implemented and
simulated using Android SDK on a smart phone. Android platform has gained popularity in recent years in terms of market share and number of available applications. Android operating system is built on a Linux kernel with built-in services such as email, web browser, and map applications. Here, automatic number plate recognition (ANPR) has to be designed and implemented on Android mobile phone platform. First, the graphical user interface (GUI) for capturing image using camera will be developed to acquire vehicle plate number in India. Second, the pre-processing of raw image will be done using contrast enhancement, filtering, and straightening. Next, an Optical Character Recognition (OCR) using neural network was utilized to extract texts and numbers. The highest recognition accuracy. The fastest processing speed. The most type of number plate it can handle.ANPR has two technological issues: The quality of license plate recognition s/w with its applied recognition algorithms. The quality of image acquisition technology, the camera and the illumination. The key factor is the number plate recognition s/w.correct recognition of vehicles violating traffic rules and regulations is a major challenge in the present complex traffic environment. The technologies use for developing this project based on JAVA,Android andPhP. KEYWORDS: Automatic number-plate recognition, Image processing techniques, Character recognition,Automatic vehicle identification system,optical Character Recognition, Neural nets.
through the combination of various techniques and algorithms, namely image pre-processing, object detection and character recognition. The ANPR system consists of a camera to detect the number plate object and processing unit to process and extract the characters and interpret the pixels into numerically readable characters. Furthermore, it became much exciting in the last decade along with the improvement of digital camera technology and the computational processing . Nowadays, the ANPR system has been used in traffic law enforcement, including speed prosecution, stolen car detection and border monitoring. It can be applied also for building management, such as parking lots and gate control. Commonly, the ANPR systems are being used for various access control and traffic law enforcement, namely toll gate access, parking area access, speed trap and traffic light tress passing.
TightlyCoupled Proces s ing
Cam era & OCR Alerts
I. INTRODUCTION Automatic Number Plate Recognition using Image Processing Techniques is a system to automatically detect, recognize and identify a vehicle details .It involves low-level image processing techniques & higher level artificial intelligence techniques.Violation of traffic rules and regulations increased by the vehicles. The detection of the vehicles violating traffic signals is a major problem. ANPR acts a solution for the above problem. Automatic Number Plate Recognition (ANPR) is a systemconsist of hardware and software which have the ability to read the character and number on the vehicle’s license plate. The ANPR is an image processing technique to extract the image of license plate on vehicle taken by digital camera or taken by either a color or a grayscale digital camera, as well as an infrared camera in order to identify the vehicles using their number plate through optical character recognition (OCR).The ANPR system recognizes character the license plate Š 2017, IRJET
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Impact Factor value: 5.181
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Police Cars Figure.1 Working of ANPR
ISO 9001:2008 Certified Journal
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