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Pollution Check Control Using License Plate Extraction via Image Processing

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 584))

Abstract

The main objective of this paper is pollution check control using license plate detection. In this paper, we extract the information about the vehicle owner by using registration number. So initially, we extract the registration number from the license plate after that compare the registration number to the local database. If registration number is stored in the database, then we retrieve the detail of the vehicle owner. The first key step of this work is to extract the registration number from the license plate for the retrieval of information about the vehicle owner. The extraction of license plate is divided into four parts: first one is preprocessing of image, second is localization of license plate, next step is segmentation of the characters in the license plate, and final step is recognition of characters from the segmented license plate. Apart from that we have also extended our research work to pollution fine implementation and vehicle entry restriction for particular area, vehicle which are more than 10 years old.

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References

  1. Liu, C. C., Luo, Z.: Extraction of vehicle license plate number using license plate calibration. In: IET International Conference on Frontier Computing. Theory, Technologies and Applications, Taichung, 2010, pp. 187–192 (2010)

    Google Scholar 

  2. Mesleh, A., Sharadqh, A., Al-Azzeh, J.: An optical character recognition. Contemp. Eng. Sci. 5(11), 521–529 (2012)

    Google Scholar 

  3. Farajian, N., Rahimi, M.: Algorithms for license plate detection: a survey. In: First International Congress on Technology, Communication and Knowledge (ICTCK 2014) 26–27 November 2014

    Google Scholar 

  4. Babu, C.N.K., Subramanian, T.S., Kumar, P.: A feature based approach for license plate-recognition of Indian number plates. In: IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Coimbatore, pp. 1–4 (2010)

    Google Scholar 

  5. Madhukar, P., Singh, K.R.: Text recognition from images. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(11) (2015)

    Google Scholar 

  6. Rabee, A., Barhumi, I.: License plate detection and recognition in complex scenes using mathematical morphology and support vector machines. In: International Conference on Systems, Signals and Image Processing, Dubrovnik, Croatia, 12–15 May 2014

    Google Scholar 

  7. Chen, B., Cao, W., Zhang, H.: An efficient algorithm on vehicle license plate location. In: Proceedings of the IEEE International Conference on Automation and Logistics Qingdao, China September 2008

    Google Scholar 

  8. Aytekin, B., Altuğ, E.: Increasing driving safety with a multiple vehicle detection and tracking system using ongoing vehicle shadow information. In: IEEE International Conference on Systems Man and Cybernetics (SMC), Istanbul, pp. 3650–3656 (2010)

    Google Scholar 

  9. Wazalwar, D., Oruklu, E., Saniie, J.: Design flow for robust license plate localization. In: IEEE International Conference on Electro/Information Technology (EIT), Mankato, MN, pp. 1–5 (2011)

    Google Scholar 

  10. Sulaiman, N., Jalani, M., Mustafa, M.: Development of automatic vehicle plate detection system. In: IEEE 3rd International Conference on System Engineering and Technology, 19–20 Aug 2013

    Google Scholar 

  11. Bhatia, N.: Optical character recognition techniques: a review. 4(5) May (2014)

    Google Scholar 

  12. Aghdasi, F., Ndungo, H.: Automatic licence plate recognition system. In: 7th AFRICON Conference in Africa, Gaborone, vol. 1, pp. 45–50 (2004)

    Google Scholar 

  13. Vamvakas, G., Gatos, B., Stamatopoulos, N., Perantonis, S.J.: A complete optical character recognition methodology for historical documents, DAS′08. In: The Eighth IAPR International Workshop on Document Analysis Systems, Nara, pp. 525–532 (2008)

    Google Scholar 

  14. Haneda, K., Hanaizumi, H.: A flexible method for recognizing four-digit numbers on a license-plate in a video scene. In: IEEE International Conference on Industrial Technology (ICIT), Athens, pp. 112–116 (2012)

    Google Scholar 

  15. Zheng, L., Samali, L., Yang, L.T.: Accuracy enhancement for license plate recognition. In: 10th International Conference on Computer and Information Technology (CIT), Bradford, pp. 511–516 (2010)

    Google Scholar 

  16. Kulkarni, P., Khatri, A., Banga, P., Shah, K.: A feature based approach for localization of Indian number plates. In: IEEE International Conference on Electro/Information Technology, Windsor, ON, pp. 157–162 (2009)

    Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Poornima University, Jaipur, India

    Shivani Garg & Nidhi Mishra

Authors
  1. Shivani Garg
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  2. Nidhi Mishra
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Corresponding author

Correspondence to Shivani Garg .

Editor information

Editors and Affiliations

  1. Department of Applied Science and Engineering, IIT Roorkee, Saharanpur, India

    Millie Pant

  2. Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan, Jaipur, Rajasthan, India

    Kanad Ray

  3. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Tarun K. Sharma

  4. Department of Electronics and Communication Engineering, SEEC, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

  5. Surface Characterization Group, NIMS, Nano Characterization Unit, Advanced Key Technologies Division, Tsukuba, Ibaraki, Japan

    Anirban Bandyopadhyay

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Garg, S., Mishra, N. (2018). Pollution Check Control Using License Plate Extraction via Image Processing. In: Pant, M., Ray, K., Sharma, T., Rawat, S., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 584. Springer, Singapore. https://doi.org/10.1007/978-981-10-5699-4_14

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  • DOI: https://doi.org/10.1007/978-981-10-5699-4_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5698-7

  • Online ISBN: 978-981-10-5699-4

  • eBook Packages: EngineeringEngineering (R0)

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