782 406
Full Length Article
Fusion: Practice and Applications
Volume 6 , Issue 2, PP: 50-56 , 2021 | Cite this article as | XML |PDF

Title

Automatic Number plate detection for law enforcement using optical recognition system

Authors Names :   Meenu Gupta   1 *     Rakesh Kumar   2     Arpit Sood   3     Gagandeep Kaur   4     Shikha Rastogi   5  

1  Affiliation :  Chandigarh University Punjab, INDIA

    Email :  meenu.e9406@cumail.in


2  Affiliation :  Chandigarh University Punjab, INDIA

    Email :  rakesh.e8623@cumail.in


3  Affiliation :  Chandigarh University Punjab, INDIA

    Email :  arpitsood2000@gmail.com


4  Affiliation :  Chandigarh University Punjab, INDIA

    Email :  gagandeep.4421@cgc.edu.in


5  Affiliation :  Bharati Vidyapeeth College of Engineering, New Delhi, INDIA

    Email :  shikha.bvcoe@gmail.com



Doi   :   https://doi.org/10.54216/FPA.060202

Received April 13, 2021 Accepted September 03, 2021

Abstract :

 Automatic Number Plate Recognition (ANPR) is a specialized type of Optical Character Recognition System (OCR). It is a method of reading a vehicle's license plate using OCR to create vehicle registry or location data. ANPR is utilized by a variety of agencies around the world to enforce the law, including determining whether a vehicle is registered or not. Government entities, such as highway agencies, can categorize traffic movements for computerized toll collection. Images of the text from the license plate can be stored and processed using the ANPR system. Infrared cameras are often employed to take photographs in any lighting condition, whether it is day or night. To be more accurate ANPR technology should also consider plate variations from place to place.

Keywords :

 

ANPR; OCR (Optical Character Recognition); AI; License Plate Detection (LPD); Social Security Administration (SSA); ASCII (American Standard Code for Information Interchange).

References :

[1]     Mufti, N., & Shah, S. A. A. (2021). Automatic number plate Recognition: A detailed survey of relevant algorithms. Sensors, 21(9), 3028.

[2]     Kumar, J. R., Sujatha, B., & Leelavathi, N. (2021, February). Automatic Vehicle Number Plate Recognition System Using Machine Learning. In IOP Conference Series: Materials Science and Engineering (Vol. 1074, No. 1, p. 012012). IOP Publishing.

[3]     Bansal, S., Gupta, M., & Tyagi, A. K. (2020, July). A Necessary Review on Optical Character Recognition (OCR) System for Vehicular Applications. In 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 918-922). IEEE.

[4]     Onim, M., Hassan, S., Akash, M. I., Haque, M., & Hafiz, R. I. (2020). Traffic Surveillance using Vehicle License Plate Detection and Recognition in Bangladesh. arXiv preprint arXiv:2012.02218.

[5]     Kelian, V. H., Keraf, N. D., Darus, H., Noor, N. M., Nie, E. L. Y., & Ehkan, P. (2020). Proposal for Automatic Vehicle Number Plate Recognition System in POLIMAS. Journal of Engineering and Science Research, 4(1).

[6]     Pustokhina, I. V., Pustokhin, D. A., Rodrigues, J. J., Gupta, D., Khanna, A., Shankar, K., ... & Joshi, G. P. (2020). Automatic vehicle license plate recognition using optimal K-means with convolutional neural network for intelligent transportation systems. IEEE Access, 8, 92907-92917.

[7]      Shobayo, O., Olajube, A., Ohere, N., Odusami, M., & Okoyeigbo, O. (2020). Development of Smart Plate Number Recognition System for Fast Cars with Web Application. Applied Computational Intelligence and Soft Computing, 2020.

[8]     Tourani, A., Shahbahrami, A., Soroori, S., Khazaee, S., & Suen, C. Y. (2020). A robust deep learning approach for automatic iranian vehicle license plate detection and recognition for surveillance systems. IEEE Access, 8, 201317-201330.

[9]     Meghana, P., SagarImambi, S., Sivateja, P., & Sairam, K. (2019). Image recognition for automatic number plate surveillance. International Journal of Innovative Technology and Exploring Engineering (IJITEE-2019).

[10]   Sutar, G. T., Lohar, A. M., & Jadhav, P. M. (2019). Number Plate Recognition Using an Improved Segmentation. LAP LAMBERT Academic Publishing.

[11]   S. R. Aher, N. D. Kapale “automatic number plate recognition system for vehicle identification using optical character recognition” Volume: 04Issue: 06 , June 2017.

[12]   Rajput, H., Som, T., & Kar, S. (2016). Using radon transform to recognize skewed images of vehicular license plates. Computer, 49(1), 59-65.

[13]   Saghaei, H. (2016). Proposal for automatic license and number plate recognition system for vehicle identification. arXiv preprint arXiv:1610.03341.

[14]   Patel, C., Patel, A., & Shah, D. (2015). A Novel Approach for Detecting Number Plate Based on Overlapping Window and Region Clustering for Indian Conditions. International Journal of Image, Graphics & Signal Processing, 7(5).

[15]   Bhardwaj, D., & Mahajan, S. (2015). Review paper on automated number plate recognition techniques. Int. J. Emerg. Res. Manag. Technol, 4, 319-324.

[16]   Samra, G. A., & Khalefah, F. (2013). Localization of license plate number using dynamic image processing techniques and genetic algorithms. IEEE transactions on evolutionary computation, 18(2), 244-257.

[17]   Qadri, M. T., & Asif, M. (2009, April). Automatic number plate recognition system for vehicle identification using optical character recognition. In 2009 International Conference on Education Technology and Computer (pp. 335-338). IEEE.

[18]   Naito, T., Tsukada, T., Yamada, K., Kozuka, K., & Yamamoto, S. (2000). Robust license-plate recognition method for passing vehicles under outside environment. IEEE transactions on vehicular technology, 49(6), 2309-2319.

[19]   Bradford, R. (1991). Error correlation in contemporary OCR systems. In Proc. First International Conference on Document Analysis and Recognition (pp. 516-523).

[20]   Zangana, H. M. Implementing a System for Recognizing Optical Characters. 100-Font Classifier. Proceedings ICDAR91, Vol. 1, 1991.

[21]   J-P. Caillot.Review of OCR Techniques. NR-note, BILD/08/087.

[22]   Lad, M. A., & Patel, M. D. Automatic License Plate Recognition Using Optical Character Recognition Based on Image Processing, IJARIIE, vol. 1, issue 2, ISSN(O)-2395-4396, 2015.

 

 


Cite this Article as :
Meenu Gupta , Rakesh Kumar , Arpit Sood , Gagandeep Kaur , Shikha Rastogi, Automatic Number plate detection for law enforcement using optical recognition system, Fusion: Practice and Applications, Vol. 6 , No. 2 , (2021) : 50-56 (Doi   :  https://doi.org/10.54216/FPA.060202)