EXTRACTION AND RECOGNITION OF THE VEHICLE LICENSE PLATE FOR PASSING UNDER OUTSIDE ENVIRONMENT Seyed Hamidreza Mohades Kasaei Young Researchers Club Isfahan Branch, Islamic Azad University, Isfahan, Iran Hamidreza_Kasaee@yahoo.com Seyed Mohammadreza Mohades Kasaei Young Researchers Club Isfahan Branch, Islamic Azad University, Isfahan, Iran Mrezamk2005@yahoo.com Abstract— Persian License Plate Detection and Recognition System is an image-processing technique used to identify a vehicle by its license plate. In fact this system is one kind of automatic inspection of transport, traffic and security systems and is of considerable interest because of its potential applications to areas such as automatic toll collection, traffic law enforcement and security control of restricted areas. License plate location is an important stage in vehicle license plate recognition for automated transport system. This paper presents a real time and robust method of license plate detection and recognition from cluttered images based on the morphology and template matching. In this system main stage is the isolation of the license plate from the digital image of the car obtained by a digital camera under different circumstances such as illumination, slop, distance, and angle. The algorithm starts with preprocessing and signal conditioning. Next license plate is localized using morphological operators. Then a template matching scheme will be used to recognize the digits and characters within the plate. This system implemented with help of Isfahan Control Traffic organization and the performance was 98.2% of correct plates identification and localization and 92% of correct recognized characters. The results regarding the complexity of the problem and diversity of the test cases show the high accuracy and robustness of the proposed method. The method could also be applicable for other applications in the transport information systems, where automatic recognition of registration plates, shields, signs, and so on is often necessary. This paper presents a morphology- based method. Keywords- License Plate Recognition, Character Recognition, Object Localization, Transport Information Systems, Segmentation. I. INTRODUCTION (HEADING 1) While the first industrial automatic system for Car License Plate Recognition (LPR) was introduced in the 80’s, an outburst of commercial systems occurred in the 90s. Although that a lot of LPR systems are available in the market, the research and development still continues and new sophisticated solutions to plate localization, character segmentation and recognition appear. This is due to the growing demand for the automatic vehicle identification required for traffic control, border control, access- control, calculation of parking time and payment, search for stolen cars or unpaid fees, and the requirement for reliable identification at different lighting conditions, presence of random or structured noise in the plate, and nationality specific features, concerning plate’s size and type of characters [1, 2]. Figure 1 illustrates a typical license plate recognition system. Some of the related works in the field of automatic car plate recognition are as follows. Lotufo, Morgan and Johnson [2] proposed automatic number-plate recognition using optical character recognition techniques. Abolghasemi and Ahmadifard [5] proposed an IFT-based fast method for extracting the license plate. Meanwhile Zamani and Movahedi [6] proposed a morphologic method for extracting the license plate using some simple constant templates. In this paper, we introduce a novel method for license plate recognition from a grayscale image of the car. We first use a preprocessing stage that contains a certain number of transforms established heuristically for reduces the extra information of car picture. Input of the car plate detection and recognition system is the binary image that obtains form preprocessing stage. Next, start a process for identifying and isolation of the car’s license plate from the image, then the result of this process send to segmentation part. Segmentation part separates the characters individually. Finally recognition part recognizes the characters giving the result as the plate number. II. THE PROPOSED METHOD Wherever Times is specified, Times Roman or Times New Roman may be used. If neither is available on your word processor, please use the font closest in appearance to Times. Avoid using bit-mapped fonts if possible. True-Type 1 or Open Type fonts are preferred. Please embed symbol fonts, as well, for math, etc. Based on their technical knowledge, expertise, level of potency and available means educational institutes and organizations, have several solutions to implement an E- learning system. In the following sections, we will pay special attention to these solutions which are one of two 2011 European Intelligence and Security Informatics Conference 978-0-7695-4406-9/11 $26.00 © 2011 IEEE DOI 10.1109/EISIC.2011.50 234