MATLAB Based Vehicle Number Plate Identification System using OCR
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The document outlines a MATLAB-based vehicle number plate identification system utilizing optical character recognition (OCR) for applications such as smart parking management and stolen vehicle identification. It details the system requirements, literature review of relevant papers, and describes modules involved in image processing, such as plate extraction and character segmentation. The study emphasizes the effectiveness of image processing techniques to enhance vehicle identification accuracy and presents a workflow for real-time database comparison.
MATLAB Based Vehicle Number Plate Identification System using OCR
- 1. MATLAB Based Vehicle Number Plate Identification System using OCR Submitted by Ghanshyam Dusane (BE-A 46) Guided by Prof. Neeta Pingle Marathwada Institute of Technology, Aurangabad Department of Electronics and Communication 12/4/2015 7:53:54 PM 1
- 2. Contents Need AIM Literature Survey OCR Block Diagram Flow Chart & Work Flow Basic Modules And Sensors Examples Applications Conclusion References 12/4/2015 7:53:54 PM 2
- 3. Need Smart Parking System Management Identification of stolen cars or bikes Smuggling of Cars or bikes Invalid license plates Usage of cars in terrorist attacks/illegal activities 12/4/2015 7:53:54 PM 3
- 4. AIM We intended to develop a system in MATLAB which can perform detection as well as recognition of Vehicle License Number plate The objective of this project is to recognize Vehicle License Number plate using serial communication. 12/4/2015 7:53:54 PM 4
- 5. SYSTEM REQUIREMENTS Software Requirement Hardware Requirement System Type: 32-bit operating system, x86 based processor WEB- CAM OS Installed: Windows XP or higher Personal Computer (PC) MATLB 7.0 or Above installed Microcontroller Servomotor/DC Motor 12/4/2015 7:53:54 PM 5
- 6. Literature Review Paper 1 “AUTOMATIC NUMBER PLATE RECOGNITION SYSTEM FOR VEHICLE IDENTIFICATION USING OPTICAL CHARACTER RECOGNITION” Proceedings of the World Congress on Engineering and Computer Science 2012 Vol I WCECS 2012, October 24-26, 2012, San Francisco, USA. Presented By :- MUHAMMAD TAHIR QADRI, MUHAMMAD ASIF This paper presents a robust method of license plate detection and recognition based on Hough lines using Hough transformation and template matching 12/4/2015 7:53:54 PM 6
- 7. Paper 2 “Automatic Vehicle Identification by Plate Recognition” World Academy of Science, Engineering and Technology International Journal of Electrical Computer, Energetic, Electronic and Communication Engineering Vol:1, No:9, 2007. Presented By :- Serkan Ozbay, and Ergun Ercelebi In this paper, a smart and simple algorithm is presented for vehicle’s license plate recognition system. The proposed algorithm consists of three major parts: Extraction of plate region, segmentation of characters and recognition of plate characters. 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. 12/4/2015 7:53:54 PM 7
- 8. Paper 3 “Automobile Number Plate Recognition And Extraction Using Optical Character Recognition” INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 3, ISSUE 10, OCTOBER 2014 Presented By :- Raja Vikramdeep Singh, Navneet Randhawa The purpose of this research is to develop an application which recognizes license plates from vehicles. The system takes images of automobiles as input and processes them. Once a license plate is detected, its digits are recognized and displayed on the User Interface. This work focuses on the design of a single algorithm used for extracting the license plate from a single image, isolating the characters of the plate and identifying the individual characters 12/4/2015 7:53:54 PM 8
- 9. Paper 4 “A Review Paper on Automatic Number Plate Recognition (ANPR) System” International Journal of Innovative Research in Advanced Engineering (IJIRAE) Volume 1 Issue 1 (April 2014) Presented By : - Dhiraj Y. Gaikwad and Pramod B. Borole In this review paper, the automatic number plate recognition system using vehicle license plate is presented. The system use image processing techniques for identifying the vehicle from the database stored in the computer. The system works satisfactorily for wide variation of conditions and different types of number plates. The system is implemented and executed in Matlab and performance is tested on genuine images. 12/4/2015 7:53:54 PM 9
- 10. BASIC PROJECT Input image ( from real environment) Algorithm using (MATLAB) Output -Microcontroller serial interfacing with hardware. 12/4/2015 7:53:54 PM 10
- 11. Block Diagram Vehicle WEB-CAM OUTPUT-ASSCII Character Character Recognition Image Acquisition Localization of Number Plate Plate Segmentation Door Control Microcontroller 12/4/2015 7:53:54 PM 11 OCR System
- 12. OCR OCR is a technology that enables you to convert different types of documents captured by a digital camera into editable and searchable data. 12/4/2015 7:53:54 PM 12 Fig. OCR Technology
- 13. Flow Chart of extraction in MATLAB 12/4/2015 7:53:54 PM 13
- 14. 12/4/2015 7:53:54 PM 14 Start Input Image Pre-processing Localization Is Number plate detected? OCR Is vehicle Number recognized? Message Displayed NO NO Comparing with Database Yes Yes
- 15. WORKFLOW Image was taken from real environment . Process Digital Images of License Plates using existing/modified algorithms. Algorithms will perform alpha numeric conversions on the captured license plate images into text entries. System would check the extracted entries against a database in real time. The entire system is implemented in MATLAB is used for detection and recognition . 12/4/2015 7:53:54 PM 15
- 16. 12/4/2015 7:53:54 PM 16 Capture image Sensor Digital camera Find plate region Plate extraction Database segmentationRecognition Image processing Register Activates the camera Compare in order to recognize Detect the vehicle Administrato r Use Case Diagram
- 17. Basic Modules of the System Detection is done by Character Segmentation Locates the alpha numeric characters on a license plate. Optical Character Recognition (OCR) Translates the segmented characters into text entries. 12/4/2015 7:53:54 PM 17
- 18. Load The Image From File a=imread(‘car 10.JPG’) 12/4/2015 7:53:54 PM 18
- 19. Preprocessing Preprocessing is very important for the good performance of character segmentation. Preprocessing consists of : Resizing image Rgb to gray Noise removal 12/4/2015 7:53:54 PM 19
- 20. Changing the TYPE c=rgb2gray(b); 12/4/2015 7:53:54 PM 20
- 21. Extracting Plate Region It is result of dilation after noise removal . 12/4/2015 7:53:54 PM 21
- 22. Edge enhancement gdiff=imsubtract(d,e); where ‘d’ is dilated and ‘e’ is eroded image 12/4/2015 7:53:54 PM 22
- 23. Morphological Operations Morphological Operations Thinning ( for character isolation) Finding connected components of area more than 200 pixels 12/4/2015 7:53:54 PM 23
- 24. Characters Segmentation Horizontal & Vertical Segmentation Detect the horizontal lines in the image with a pixel value of zero. Converting the image into binary. Use simple “for loops” to detect the portions of the image that had connected objects with a pixel value of ‘0’ and hence accordingly, the image was read. 12/4/2015 7:53:54 PM 24
- 25. Characters Segmentation Preprocessing Horizontal And Vertical Segmentation 12/4/2015 7:53:54 PM 25
- 26. Template Matching Template matching is one of the most common and easy classification method for recognizing the characters. We used code for OCR Characters Recognition 12/4/2015 7:53:54 PM 26
- 27. Applications Red Light Violation Enforcement Border And Customs Checkpoints Smart Parking System Management Detection Of Invalid License Plates 12/4/2015 7:53:54 PM 27
- 28. Conclusion The automatic number plate recognition system using vehicle license plate is presented. The system use image processing techniques for identifying the vehicle from the database stored in the computer. 12/4/2015 7:53:54 PM 28
- 29. References Optical Character Recognition Ravina Mithe, Supriya Indalkar, Nilam Divekar 2013 International Journal Of Recent Technology And Engineering (Ijrte) Design Of An Optical Character Recognition System For Camera-Based Handheld Devices Ayatullah Faruk Mollah, Nabamita Majumder Subhadip Basu, And Mita Nasipuri 2011 International Journal Of Computer Science Issues Number Plate Recognition Using an Improved Segmentation Mr. G. T. Sutar , Prof. Mr. A.V. Shah P.G. Student, Department of Electronics Engineering, D.K.T. Engineering College, Ichalkaranji, Maharashtra, India Associate Professor, Department of Electronics Engineering, D.K.T. Engineering College, Ichalkaranji, Maharashtra A Review Paper on Automatic Number Plate Recognition (ANPR) System International Journal of Innovative Research in Advanced Engineering (IJIRAE) Volume 1 Issue 1 (April 2014) 12/4/2015 7:53:54 PM 29
- 30. Any Queries ? 12/4/2015 7:53:54 PM 30
- 31. THANK YOU ! 12/4/2015 7:53:54 PM 31