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Automated Indian Vehicle Number Plate Detection

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 742))

Abstract

Many countries have standardized vehicle license plates and the constraints of plates like font, size, color, spacing between characters, and number of lines are strictly maintained. Even though standards for number plate are being decided by the Indian government and the process of standardization is in process, it can be seen that every 8 out of 10 vehicles have a variation from that of the standard number plate in terms of either location of plate, fonts used in the plate or various text and designs on the vehicle as well as on plate. Because of these variations, it has been challenging to develop an automated vehicle number plate detection system which can localize number plates or fonts of number plate correctly. This paper presents novel experiments at all the important phases of number plate detection like preprocessing, number plate localization, number plate extraction, segmentation, and character recognition at last. Proposed methodology detects number plate and the characters with high accuracy of 98.75% where neural network has been used for character recognition.

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Acknowledgements

We would like to thank our mentors, Dr. Saurabh Shah (Dean, Institute of Technology, BITS Edu Campus) and Mr. Prerak Sheth (Proprietor, Suyojan Systems, Vadodara) for their constant valuable support in conceptualizing the idea and taking it further to the level of research project. Because of their constant efforts and guidance, we could achieve important milestone of completing the final year project as a product.

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Babaria Institute of Technology, BITS Edu Campus, Vadodara, Gujarat, India

    Saurabh Shah, Nikita Rathod, Paramjeet Kaur Saini, Vivek Patel & Heet Rajput

  2. Suyojan Systems, Vadodara, Gujart, India

    Prerak Sheth

Authors
  1. Saurabh Shah
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  2. Nikita Rathod
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  3. Paramjeet Kaur Saini
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  4. Vivek Patel
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  5. Heet Rajput
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  6. Prerak Sheth
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Corresponding author

Correspondence to Saurabh Shah .

Editor information

Editors and Affiliations

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

    Kanad Ray

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

    Tarun K. Sharma

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

    Sanyog Rawat

  4. Institute of Basic Science, Bundelkhand University, Jhansi, Uttar Pradesh, India

    R. K. Saini

  5. Advanced Key Technologies Division, Nano Characterization Unit, Surface Characterization Group, National Institute for Materials Science, Tsukuba, Ibaraki, Japan

    Anirban Bandyopadhyay

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Shah, S., Rathod, N., Saini, P.K., Patel, V., Rajput, H., Sheth, P. (2019). Automated Indian Vehicle Number Plate Detection. In: Ray, K., Sharma, T., Rawat, S., Saini, R., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 742. Springer, Singapore. https://doi.org/10.1007/978-981-13-0589-4_42

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