License Plate Recognition System

 License Plate Recognition System Essay

Mathematical Morphology Strategy for Removal of Vehicle Number China Humayun K. Sulehria, Ye Zhang, Danish Irfan

Abstract— This newspaper presents a technique for extraction of the automobile number discs from the vehicle images applying hybrid numerical morphology methods. The main thought is to use distinct morphological functions in such a way so the number dish of the car can be discovered precisely. The methodology the actual task of extraction with the number menu independent of color, size and location of number menu. The proposed approach entails five different processes, these are, image improvement, morphing modification, morphological gradient, combination of resultant images and extracting the number plate from your objects which have been left in the image. This algorithm can easily and appropriately detect the number plate area from the car image. A lot of vehicle quantity plate norms are also provided in this daily news. Keywords— Mathematical morphology, morphological gradient, vehicle number plate, morphing changes, image enhancement. I. LAUNCH N the present information technology period, the use of automations and intelligent systems is starting to become more and more widespread. The Smart Transport System (ITS) technology has obtained so much focus that many systems are staying developed and applied worldwide. Vehicle quantity plate reputation (VNPR) has turned out to be an essential research concern. VNPR has many applications in traffic monitoring system, which include controlling the visitors volume, ticketing vehicle without the human control, vehicle tracking, policing, secureness, and so on. The most vital and the most difficult element of any VNPR system [11] is the detection and extraction of the vehicle Number plate, which immediately affects the systems total accuracy. The presence of noise, hazy in the image, uneven light, dim mild and foggy conditions associated with task even more complicated. In this daily news we suggest a detailed and novel means for accurately detecting the location of vehicle amount plates. The proposed system can work extremely accurately in almost any environment, time of day, and conditions. There are some international, nationwide or local standards for vehicles. One sample is usually presented inside the Appendix to this text. In China, the basic norms [12] for the amount plate will be presented. A few regional co-operations such as European Union (EU), include plates [13] that define the country, the place of registration, and so forth In this text, Chinese, Pakistani, and Kuwaiti plates will be represented. Manuscript submitted Janaury 10, 3 years ago; Revised received June you, 2007. H. K. Sulehria is with the Harbin Commence of Technology, Harbin-150001, Heilongjiang PR Cina (phone: +86-451-86401103; e-mail: [email protected] yahoo. com). Y. Zhang, is with Harbin Institute of Technology, Harbin-150001, Heilongjiang PAGE RANK China. (e-mail: [email protected] edu. cn). II. RELATED FUNCTION

The problem of automatic VNP recognition is being studied because the 90's [5], [8], [10]. Early approaches were based on characteristics of boundary lines. The input picture being 1st processed to complement and improve boundary line-information by using these kinds of algorithms because the lean filter, and resulting in a picture formed of edges. The thus highly processed was converted to its binary counterpart and after that processed by simply certain algorithms, such as Hough transform, to detect lines. Eventually, lovers of 2-parallel lines were considered as a plate-designate [6], [11]. Another approach was based on the morphology of objects in an image [1], [7]. This approach focuses on a few salient properties of automobile plate pictures such as their particular brightness, comparison, symmetry, sides, etc . Because of these features, this method could be used to discover the related properties in a certain image and find the position of number plate regions. The next approach was based on record properties of text [3], [4]. With this approach, textual content regions had been discovered...

References: [1] L. L. Bai, C. L. Liu, " A Cross types License Platter Extraction Technique Based on Border Statistics and Morphology, ” Proceedings from the 17th Worldwide Conference on Pattern Acknowledgement, 2004.

[2] C. Meters. Bishop, Neural Networks intended for Pattern Recognition. Oxford: Clarendon Press, 1995.

[3] L. Clark, M. Mirmehdi, " Finding Text Regions applying Localised Steps, ” Actions of the eleventh British Equipment Vision Meeting, 2000, pp. 675-684.

[4] P. Clark simon, M. Mirmehdi, " Merging Statistical Steps to Find Photo Text Parts, ” Procedures of the 15th International Seminar on Routine Recognition, 2k, pp. 450-453.

[5] T. D. Duan, T. L. H. Man, T. Versus. Phuoc, And. V. Hoang, " Building an Automatic Vehicle License-Plate Acknowledgement System, ” International Seminar in Computer Science, 2005, pp. 59-63.

[6] To. D. Duan, D. A. Duc, Capital t. L. They would. Du, " Combining Hough Transform and Contour Protocol for uncovering Vehicles License-Plates, ” Process of 2004 International Symposium on Intelligent Multimedia, Online video and Presentation Processing, 2005, pp. 747-750.

[7] Ur. C. Gonzalez, R. E. Woods, Digital Image Processing. 2d impotence., Prentice Corridor, Englewood Coves, NY, 2002.

[8] L. C. M. Lee, W. K. Wong, H. T. Fong, " Automatic Persona Recognition for Moving and Stationary Cars and Storage units in Real life Images, ” IEEE, 99, pp. 2824-2828.

[9] R. Parisi, Electronic. D. Pada Claudio, G. Lucarelli, G. Orlandi, " Car Menu Recognition by Neural Networks and Graphic Processing, ” Proceedings with the 1998 IEEE International Conference, seminar on Circuits and Devices, 1998, pp. 195-198.

[10] J. L. Parker, G. Federl, " An approach to licence plate reputation, ” Process of Visual Interface'97, 97. pp. 178-182.

[11] N. Remus, " License Platter Recognition Program, ” Proceedings of the 3rd International Meeting in Details, Communications and Signal Control, 2001, pp. 203-206.

[12] GA666-2006. Peoples' Republic of China regulations for cars number plates (in Chinese). Nov, 2006.

INTERNATIONAL JOURNAL OF PERSONAL COMPUTERS

Issue 3, Volume 1, 2007

INTERNATIONAL JOURNAL OF COMPUTERS

Concern 3, Volume level 1, 3 years ago

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