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Analysis & Simulated Designe of Number Plate Detection ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print) IJCST VOL . 4, Iss UE 1, JAN - MAR C H 2013 Analysis & Simulated Designe of Number Plate Detection 1Dr. Amit Verma, 2Ravi Kant, 3Parminder Kaur, 4Surinder Kaur, 5Iqbaldeep Kaur 1,4,5Dept. of CSE, Chandigarh University, Gharuan, Mohali, Punjab, India 2Dept. of ECE, PTU, RBIEBT 3PTU, RBIEBT Abstract recognition rate with the image processing algorithms [2]. In real time number plate detection , some vehicle number plates can not be recognized due to very poor illumination, motion II. Applications of Object Detection blurred effect, fade characters and so on. The key problem is Detection means finding the location of the object and recognizing that number plate can not be segmented accurately and correctly. what it is . traffic control video surveillance of unattended outdoor Many techniques have been proposed. In this paper, we present a environments, video surveillance of objects. edge detection method based on neural network. In Neural network Applications of digital image processing are such as: systems, each character is introduced as an input data to the system. A. Digital Camera Images: Digital cameras generally include The system learns these characters. After that, it compares the dedicated digital image processing chips to convert the raw data input data characters to the existing characters. As a result, the from the image sensor into a colour-corrected image in a standard character which has very similar rate is activated. Neural Network. image file format. Images from digital cameras often receive classifier is used to recognize the characters.in which adaboost further processing to improve their quality, a distinct advantage and template matching techniques are also used for more accuracy that digital cameras have over film cameras. The digital image and to extract the plate accurately. This new approach provides a processing typically is executed by special software programs good direction for number plate detection. that can manipulate the images in many ways b) Intelligent transportation systems: Digital image processing has Keywords a wide applications in intelligent transportation systems, such as Neural Network, Adaboost, Template Matching, Median Filters automatic number plate recognition and traffic sign recognition. etc. c) To Detect Infrastructure Damage Caused by Earthquakes. d) In conservation of the medieval MOSAIC. I. Introduction f) IN wireless network sensors . Image Processing in Road Traffic Automatic number plate detection has been adopted widely into Analysis numerous applications such as unattended parking, security control and stolen vehicle verification. Therefore, it is is still a challenging III. Various Techniques of Object Detection problem to detect number plates under complex conditions, such Performance Evaluation of Object Detection Algorithms for as number plates with various colours, sizes, and taken under Video Surveillance, Object Detection using a Max-Margin various illuminating conditions and various angles of view, or Hough Transform ∗, Performance Evaluation of Object with various backgrounds. and may be utilized for measuring the Detection, Algorithms for Video Surveillance , Comparison of travel time of vehicles or other applications which need detailed Generative and Discriminative,Techniques for Object Detection plate information identification. a high recognition rate of plate and Classification , Object detection and localization using local information and a high judgment accuracy of vehicle colours, the and global Features, A survey of techniques for object detection., image processing algorithms that recognizes each character on the multiple Component Learning for Object Detection Comparison of plate correctly or judge the vehicle colours as it would be close Generative and Discriminative, Techniques for Object Detection to human sense are important keys as well as the images that are and Classification ,segmentation and object recognition, using edge high definition enough to distinguish each character. create colour detection techniques , techniques for image classification, Object samples which have correspondences of colours and RGB values in detection and object segmentation simple colour conversion ,edge advance .The each of colour sample is created supposing different detection and connector measurement technique is also used for illumination conditions which make the plate intensity differently. object detection methods .Thus this type of techniques are most a latest high definition camera and a high resolution lens, which widely used for object detection in different conditions. enables to distinguish each character clearly, to achieve a high IV. Comparative Analysis Techniques of Object Dtection Purpose/Issues Methodology Author Name Keywords Future Scope challenge due to the Mohammad Achieves high diversity of plate Mahdi persian OCR, Multiclass accuracy in plate formats and Multiple class Dehshibi adaBoost, character localization, multiform outdoor illumination adaboost [6] et : al segmentation are used segmentation, and conditions Recognition during image acquisition www.ijcst.com INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 23 IJCST VOL . 4, Iss UE 1, JAN - MAR C H 2013 ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print) higher recognition SVM Based License accuracy and higher it can be used for toll charge Automatic Number Plate Kumar processing speed than supervision of highway and in Plate Recognition, Recognition Parasuraman using traditional SVM other applications. Support vector machine System[7] based multi-class classifier. A Novel Multiple License plate vehicles identify plates from License Plate recognition, video sequence in Extraction sigmoid function, Highlight the number which removal Chirag N. Technique Horizontal projection, of probable candidate of Paunwala et: al; for Complex Mathematical regions in an image motion blur is an Background in morphology, important issue Indian Traffic Aspect ratio analysis, associated with fast Conditions [8] Plate compatible filter moving the Window movement Farsi License Plate , Candidate regions our proposed algorithm Detection based on for numerical signs Mehran Rasooli modification , Character is able to detect the Element Analysis and municipality et:al parallelism, analysis , license plates as well. and Characters plates as well artificial neural network Recognition[9] classifier So the scope of the work Vehicle Number lie in enhancement of the Edge Detection, Median a detection algorithm Plate Detection resultant image under variable Filter, Smoothing, that employs a novel using Sobel Er. Amit Verma illumination. The same work Connector, Masking, image descriptor and Edge Detection further can be extended in the Colour Conversation detects license plate Technique [10] detection algorithms for faces we can also detect the vehicle vehicle To detect the edges number plate with the help of classification Poonam Yadav Edge Detection, Median to get the shape and Novel fuzzy logic based edge using novel et:al; Filter Fuzzy Logic size of the vehicle and detection technique which will edge detection classify the vehicle give better results over other technique[11] techniques Fig. 1: Flow Chart of the Number Plate Detection 24 INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY www.ijcst.com ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print) IJCST VOL . 4, Iss UE 1, JAN - MAR C H 2013 V. Conclusion Dr. Amit Verma is working with Chandigarh University as With the help of presented technique in this paper, we can detect Professor, He has more than 120 papers in his credit in various the number of any plate just by giving as input the image of the national/international journals. plate, and number gets extracted . If the detection is not clear and proper, which we find, is due to improper light segment or varying Er. Ravi Kant is working as an Assistant Professor department of illumination effects by using of this algorithm method the number Electronics and Communication Engineering, Rayat and Bahra plate would be clear to a extent as compared to other methods. Institute of Engineering and Bio-Technology, Kharar, Mohali, Punjab, India. References [1] Brian David Maciel, Richard Alan Peters II,"Center Er. Parminder Kaur is reserch scholar department of electronics for Intelligent System Vanderbilt University School of and communication engineering Rayat and Bahra Institute of Engineering Station B. A Comparison of Neural and Statistical Engineering and Bio-Technology, Kharar, Mohali, Punjab, Techniques in Object". India. [2] Dr. P.K.Suri, Dr. Ekta Walia, Er. Amit Verma Dept .of Com puterScience&Applications,KurukshetraUniversityKuruksh Er. Iqbaldeep Kaur is working with Chandigarh University as etra,Haryana, India 2Dept. of IT, MMU, Mullana, Ambala, Professor; He has more than 120 papers in his credit in various Haryana, India Dept. of ECE, RBIEBT, Kharar, Mohali, National/international journals. He has more than 120 papers in Punjab, Vehicle Number Plate Detection using Sobel Edge his credit in various national/international journals. Detection Technique India IJCST Vol. 1, Issue 2, December 2 [3] Vladislav skorpil, JIRI stastny Department of Telecommunication, Institute of Automation and Computer Science Brno University of Technology, Comparison Methods for Object Recognition, pp. 607-610. [4] S.Kother Mohideen Dr. S. Arumuga Perumal, Dr. M.Mohamed Sathik Head, IT & PG Dept. of Comp.sc, Sadakthullah Appa College, Tirunelveli-627
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