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Campus Vehicle Monitoring Through Image Processing

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Emerging Research in Electronics, Computer Science and Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 545))

Abstract

The usage of vehicles has been rapidly increasing and the entry of the unauthorized vehicles in the campus has become a hectic problem. In this situation, the detection of unauthorized vehicles plays an important role nowadays. In these scenarios, the vehicle number plate recognition system has attracted many of the researchers to work with the concept of image recognition and processing. Theft of vehicles, breaking of traffic rules, entering into the restricted space, so on are increasing day by day. Thus to break this act, vehicle license registration code recognition is necessary. The recognition system can avoid the problem of vehicle theft, breaking of traffic rules, restriction of unauthorized vehicles to the secured area, and so on. The work focuses on recognizing the individual character within the registered license plate and aims to achieve high accuracy by optimizing many parameters that have higher recognition rate than the conventional techniques.

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References

  1. Abolghasemi V, Ahmadyfard A (2009) An edge-based colour-aided method for license plate detection. Image Vis Comput 27(8):1134–1142

    Article  Google Scholar 

  2. Hongliang B, Changping L (2004) A hybrid license plate extraction method based on edge statistics and morphology. In: IEEE 17th international conference for pattern recognition (ICPR), vol 2, Cambridge, UK, pp 831–834

    Google Scholar 

  3. Mousa A (2012) Canny edge-detection based vehicle plate recognition. Int J Sig Process Image Process Pattern Recogn 5(3):1–8

    Google Scholar 

  4. Gao W, Zhang X, Yang L, Liu H (2010) An improved sobel edge detection. In: IEEE 3rd international conference on computer science and information technology (ICCSIT) vol 5, pp 67–71, Chengdu, China

    Google Scholar 

  5. Duan TD, Duc DA, Du TLH (2004) Combining hough transform and contour algorithm for detecting vehicles’ license-plates. In: IEEE international symposium on intelligent multimedia, video and speech processing, Hong Kong, China, pp 747–750

    Google Scholar 

  6. Deb K, Vavilin A, Jo K-H (2010) An efficient method for correcting vehicle license plate tilt. In: IEEE international conference on granular computing (GrC), San Jose, CA, USA, pp 127–132

    Google Scholar 

  7. Du S, Ibrahim M, Shehata M, Badawy W (2013) Automatic license plate recognition (ALPR): a state-of-the-art review. IEEE Trans Circuits Syst Video Technol 23(2):311–325

    Article  Google Scholar 

  8. Kanani P, Gupta A, Yadav D, Bodade R, Pachori RB (2013) Vehicle license plate localization using wavelets. In: IEEE international conference on telecommunication (ICT), pp 1160–1164

    Google Scholar 

  9. Lee RT, Hung K-C (2012) Real-time vehicle license plate recognition based on 1-D discrete periodic wavelet transform. In: IEEE international symposium on computer, consumer and control (IS3C), Taichung, Taiwan, pp 914–917

    Google Scholar 

  10. Deb K, Gubarev VV, Jo K-H (2009) Vehicle license plate detection algorithm based on color space and geometrical properties. In: International conference on intelligent computing, Berlin, Germany, pp 555–564

    Google Scholar 

  11. Hsieh J-W, Yu S-H, Chen Y-S (2002) Morphology-based license plate detection from complex scenes. In: IEEE 16th international conference on pattern recognition, vol 3, Quebec, Canada, pp 176–179

    Google Scholar 

  12. Llorens M, Palazon V (2005) Car license plates extraction and recognition based on connected components analysis and HMM decoding. In: Iberian conference on pattern recognition and image analysis, vol 3522, Berlin, Germany, pp 571–578

    Google Scholar 

  13. Zheng D, Zhao Y, Wang J (2005) An efficient method of license plate location. Pattern Recogn Lett 26(15):2431–2438

    Article  Google Scholar 

  14. Sarfraz M, Ahmed MJ (2003) Saudi Arabian licence plate recognition system. In: International conference on geometric modeling and graphics (GMAG’03), London, UK, pp 36–41

    Google Scholar 

  15. Chaple M, Paygude SS (2013) Vehicle detection and tracking from video frame sequence. Int J Sci Eng Res 4(3):1–7

    Google Scholar 

  16. Sulehria HK, Zhang Y (2008) Vehicle number plate recognition using mathematical morphology and neural networks. WSEAS Trans Comput 7(6):781–790

    Google Scholar 

  17. Ozbay S, Ercelebi E (2005) Automatic vehicle identification by plate recognition. World Acad Sci Eng Technol 9:222–225

    Google Scholar 

  18. Dr Suri PK, VermaEr A (2010) Vehicle number plate detection using sobel edge detection technique. Int J Comput Sci Technol 1(2)

    Google Scholar 

  19. Kumar P, Kumar PV (2010) An efficient method for indian vehicle license plate extraction and character segmentation. In: IEEE international conference on computational intelligence and computing research, vol 18

    Google Scholar 

  20. Dashtban MH, Dashtban Z, Bevrani H (2011) A novel approach for vehicle license plate localization and recognition. Int J Comput Appl 26(11):22–30

    Google Scholar 

  21. Asthana S, Sharma N, Singh R (2011) Vehicle number plate recognition using multiple layer back propagation neural networks. Int J Comput Technol Electron Eng (IJCTEE)1(1):35–38

    Google Scholar 

  22. Sharma C, Kaur A (2011) Indian vehicle license plate extraction and segmentation. Int J Comput Sci Commun 2(2):593–599

    Google Scholar 

  23. Lekhana GC, Srikantaswamy R (2012) Real time license plate recognition system. Int J Adv Technol Eng Res (IJATER). In: National conference on emerging trends in technology (NCET-Tech) 2(4):5–9

    Google Scholar 

  24. Zhou W, Li H, Yijuan L, Tian Q (2012) Principal visual word discovery for automatic license plate detection. IEEE Trans Image Process 21(9):4269–4279

    Article  MathSciNet  Google Scholar 

  25. Sandhya Rani P, Prasad V (2012) License plate character segmentation based on pixel distribution density. Int J Eng Sci Adv Technol (IJESAT) 2(5):1539–1542

    Google Scholar 

  26. Lee RT, Hung KC, Wang HS (2012) Real time vehicle license plate recognition based on 2D haar discrete wavelet transform. Int J Sci Eng Res 3(4)

    Google Scholar 

  27. Chang S-L, Chen L-S, Chung Y-C, Chen S-W (2004) Automatic license plate recognition. IEEE Trans Intell Transp Syst 5(1):42–53

    Google Scholar 

  28. Chen C-C, Hsieh J-W (2007) License plate recognition from low-quality videos. In: Conference on machine vision applications (MVA2007 IAPR), Tokyo, Japan, pp 122–125

    Google Scholar 

  29. Yang X, Zhao Y, Fang J, Lu Y, Zhang Y, Yuan Y (2005) A license plate segmentation algorithm based on MSE rand template matching. Pattern Recogn Lett 26(15):2431–2438

    Google Scholar 

  30. Optasia Systems Pte Ltd. The world leader in license plate recognition technology. www.singaporegateway.com/optasia, Accessed 22 Nov 2008

  31. Reddy KV, Sunkari S (2017) A new method of license plate recognition system using Raspberry Pi processor. Int J Comput Sci Inf Eng Technol 4(3):1–5

    Google Scholar 

  32. Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62–66

    Article  Google Scholar 

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Acknowledgements

The authors wish to thank all owners of the vehicle who have given the number plate image for testing the Vehicle Monitoring System.

Author information

Authors and Affiliations

  1. Department of Information Science and Engineering, Siddaganga Institute of Technology, Tumakuru, India

    G. Jagadamba & Shrinivasacharya Purohit

  2. Department of Information Science and Engineering, GSSS Institute of Technology, Mysuru, India

    G. Chayashree

Authors
  1. G. Jagadamba
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  2. Shrinivasacharya Purohit
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  3. G. Chayashree
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Corresponding author

Correspondence to G. Jagadamba .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, PES College of Engineering, Mandya, Karnataka, India

    V. Sridhar

  2. Department of Computer Science and Engineering, PES College of Engineering, Mandya, Karnataka, India

    M.C. Padma

  3. Department of Electronics and Communication Engineering, PES College of Engineering, Mandya, Karnataka, India

    K.A. Radhakrishna Rao

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© 2019 Springer Nature Singapore Pte Ltd.

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Jagadamba, G., Purohit, S., Chayashree, G. (2019). Campus Vehicle Monitoring Through Image Processing. In: Sridhar, V., Padma, M., Rao, K. (eds) Emerging Research in Electronics, Computer Science and Technology. Lecture Notes in Electrical Engineering, vol 545. Springer, Singapore. https://doi.org/10.1007/978-981-13-5802-9_29

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  • DOI: https://doi.org/10.1007/978-981-13-5802-9_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5801-2

  • Online ISBN: 978-981-13-5802-9

  • eBook Packages: EngineeringEngineering (R0)

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