International Journal For Technological Research In Engineering Volume 5, Issue 7, March-2018 ISSN (Online): 2347 - 4718 www.ijtre.com Copyright 2018.All rights reserved. 3296 AUTOMATIC NUMBER PLATE RECOGNITION USING CONNECTED COMPONENT ANALYSIS ALGORITHM S. Stephy Golda Mercy 1 , Dr. I. Muthulakshmi 2 1 PG Scholar, 2 Professor Department of Computer Science and Engineering VV College of Engineering, Tamil Nadu, India. Abstract: Automatic Number Plate Recognition that can be used as a basis for many real-words ITS (Intelligent transportation system) application. The system is designed to real with unclear vehicles plates, variations in weather and lighting conditions, different traffic situations, and high- speed vehicles. ANPR System consists of three parts; they are Plate Segmentation, Plate Detection and Plate Recognition. The proposed work is used to extract numbers from the number plate. This technology is used in various security purposes for finding stolen cars, traffic management system, usage of cars in terrorist attacks and illegal activities. Character segmentation is the process of extracting the characters and numbers from the license plate. Noises in the image are removed using filtering techniques. Connected-component Analysis (CCA) technique is used for the character recognition .character is coordinated with layout utilizing format coordinating calculation lastly the character is separated. The proposed algorithm is compared with the existing methods and found that it is performed better than the existing methods. Index Terms: Connected-component analysis(CCA), Support Vector Machine (SVM). I. INTRODUCTION 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. Connected-component Analysis 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 vehicle’s owner, place of registration, address, etc. The system is implemented and simulated in Mat lab, 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. ANPR is divided in two main steps: plate detection and plate recognition. Plate detection has the purpose of detecting the location of the plate in the whole camera frame. When a plate is detected in an image, the plate segment is passed to the second step. Plate recognition is defined as the act of identifying someone or something because of previous knowledge, or to formally acknowledge someone. Formal acknowledgment of the political existence of a government, Real time number plate recognition plays an important role in maintaining law enforcement and maintaining traffic rules [5]. Many number plates have different styles and varying state by state. The number plates have one row or two rows of numbers and have six to more than ten letters. Image Processing is an area that uses several techniques and algorithms in order to interpret and understand the information contained in a digital image [2].Most image processing algorithms consist of a few typical steps viz.  image pre-processing,  segmentation,  feature extraction,  feature selection  Classification. First, number plate image is taken. Image processing step includes removal of noise using filters and to enhance the image. Image segmentation is the process of partitioning an image into multiple segment or set of pixels used to locate object and boundaries [13]. Each of the pixels in a region is similar with respect to some characteristics such as color, intensity or texture. Image classification of number plate module is done in order to eliminate operator dependency and to improve the accuracy. In digital image classification the conventional statistical approaches for image classification use only the gray values. Image processing is a method to perform some operations on an image, in order to get an enhanced image. Nowadays, image processing is among rapidly growing technologies. Image Processing is a technique to enhance raw images received from cameras placed pictures taken in normal day-to-day life for various applications. Image processing usually refers to digital image processing, but optical and analog image processing also are possible. This article is about general techniques that apply to all of them. The acquisition of images (producing the input image in the first place) is referred to as imaging. Intelligent transport systems[20] vary in technologies applied, from basic management systems such as car navigation; traffic signal control systems, container management systems, variable message signs, automatic number plate recognition or speed cameras to monitor applications, such as security and to more advanced applications that integrate live data and feedback from a number of other sources, such as parking guidance and information systems, weather information, bridge de-icing