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License Plate Localization and Character

Recognization based on EM and BPNalgorithm

Presentedby

JOEL EBENEZER P(510813483003)

Guided byMr.V.SENTHIL KUMAR M.E.,

Associate Prof/Department of ECE

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Outline

Aim

Introduction

Work flow of phase I

Fundamentals of Image processing

Fundamentals of Expectation-Maximization and CCAT tecniques

Work to be done

Conclusion

References

2

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Aim

To detect the location of the license plate (LP) and License platecharacters in an image having variability in orientation, scaling, plate

location, illumination, and complex background.

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Introduction

Detection of license plate and extraction of characters from an image is a

difficult task to accomplish. Many researches as been carried out and various

algorithms have been proposed.

Problems in locating the license plate from an image are orientation, scaling,

background, illumination conditions, blurriness and resolution of images.

We do an image processing method in three stages, to extract vehicle image, to

extract license plate and to extract the text as a last process.

Edge based detection and Expectation-Maximization based segmentation are

done for localizing the license plate. Back propagation algorithm is used for

recognization of license plate characters.

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WORK FLOW OF PHASE - I

Problem Identification

Literature Survey

Fundamentals of image processing

Edge detection

(Sobel operator)

EM and Connected Component Analysis

Extraction of license plate region

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Fundamentals of Image processing

What is Image processing:

Image processing is a method to convert an image into digital form

and perform some operations on it, in order to get an enhanced image or to

extract some useful information from it.

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Connected component analysis

What is CCAT?

Connected component technique, scans an image and groups its pixels into

components based on pixel connectivity.

All pixels in a connected component share similar pixel intensity

values and are in some way connected with each other.

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Conclusion of literature survey

The objectives of this project are,

To detect license plate and extract characters accurately.

To achieve success in low resolution images.

To evaluate the performance of our system in the presence of noise and

variations in lighting conditions and orientations.

To reduce the detection time.

To achieve more success rate.

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Works to be carried out

Phase 1:

Detection and recognization of license plate characters by genetic

algorithm(base paper).

Localization of license plate by Expectation-Maximization

Phase 2:

Character recognization using BPN algorithm.

MATLAB based video processing system.

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Reference

1) Y. Qiu, M. Sun, and W. Zhou, L icense plate extraction based on vertical

edge detection and mathematical morphology, inProc. Int. Conf.

Comput. Intell. Softw. Eng., Dec. 2009, pp. 15.

2) X. Shi, W. Zhao, Y. Shen, and O. Gervasi, Automatic li cense plate

recogni tion system based on color image processing, inLecture Noteson Computer Science, Berlin, Germany: Springer-Verlag, 2005, vol. 3483,

pp. 11591168.

3) A. Theja, S. Jain, A. Aggarwal, and V. Kandanvli, L icense plate

extr action using adaptive threshold and l ine grouping, inProc. ICSPS,

Jul. 2010, vol. 1, pp. 211214.

4) D. Zheng, Y. Zhao, and J. Wang, An eff icient method of l icense plate

location,Pattern Recogn. Lett., vol. 26, no. 15, pp. 24312438, 2005.

5) J. Xu, S. Li, and M. Yu, Car license plate extr action using color and

edge information,Mach. Learning Cybern., vol. 6, pp. 39043907, Aug.

2004.

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6) L. Carrera, M. Mora, J. Gonzalez, and F. Aravena, L icense plate

detection using neural networks, inProc. IWANN, 2009, vol. 2, pp.

12481255.

7) S.-L. Chang, L.-S. Chen, Y.-C. Chung, and S.-W. Chen, Automatic

l icense plate recogni tion,IEEE Trans. Intell. Transp. Syst., vol. 5, no. 1,

pp. 4253, Mar. 2004.

8) J. Xiong, S. Du, D. Gao, and Q. Shen, Locating car license plate under

var ious ill umination conditions using genetic algor ithm, inProc. ICSP,

2004, vol. 3, pp. 25022505.

9) Xiaojiao Liao and Ying Li, L icense plate location algori thm based on

edge detection and morphological, 10rd ed., vol. 34. Modere Electronic

Technology,2011,pp.3-4.

10) Junfei Zhuo and Yu Hu, L icense plate location algori thm based on edgedetection and projection method[J], 3rd ed., vol. 26. Bulletin of Science

and Technology, 2010, pp. 1-5.

11) X. Shi, W. Zhao, and Y. Shen, Automatic license plate recognition system

based on color image processing,Lecture Notes on Compute Science,

vol. 3483, pp. 11591168, 2005.

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Thank you