IJSTR

International Journal of Scientific & Technology Research

IJSTR@Facebook IJSTR@Twitter IJSTR@Linkedin
Home About Us Scope Editorial Board Blog/Latest News Contact Us
CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT
QR CODE
IJSTR-QR Code

IJSTR >> Volume 3- Issue 10, October 2014 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Automobile Number Plate Recognition And Extraction Using Optical Character Recognition

[Full Text]

 

AUTHOR(S)

Raja Vikramdeep Singh, Navneet Randhawa

 

KEYWORDS

Index Terms: Automobile Number recognition, Car number detection, Indian Vehicle registration plate recognition, License plate detection, Optical Character Recognition, Real-time License plate recognition, Registration Number recognition, Vehicle recognition.

 

ABSTRACT

Abstract: Automobile Number Plate Recognition and Extraction System using Optical Character Recognition Methodology is one of a kind Intelligent System and is of considerable interest because of its potential applications in highway electronic toll collection and traffic monitoring system. This type of application puts high demands on the reliability of the System. A lot of work has been done regarding license plate recognition systems for Korean, Chinese, European and US license plates that generated many commercial products. However, little work has been done for Indian license plates recognition systems. The purpose of this research is to develop an application which recognizes license plates from vehicles. The system takes images of automobiles as input and processes them. Once a license plate is detected, its digits are recognized and displayed on the User Interface. This work focuses on the design of a single algorithm used for extracting the license plate from a single image, isolating the characters of the plate and identifying the individual characters.

 

REFERENCES

[1] A. Akoum, B. Daya , P. Chauvet (2009), “Two Neural Networks For License Number Plates Recognition”, Journal of Theoretical and Applied Information Technology, pp. 25-32.

[2] Abdelwadood Mesleh, Ahmed Sharadqh, Jamil Al-Azzeh, MazenAbu-Zaher, Nawal Al-Zabin, Tasneem Jaber, Aroob Odeh, Myssa'a Hasn (2012), “An Optical Character Recognition”, Contemporary Engineering Sciences, Vol. 5, no. 11, pp. 521 – 529.

[3] Amninder Kaur, Sonia Jindal, Richa Jindal (2012), “License Plate Recognition Using Support Vector Machine (SVM)”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 7, pp. 403-407.

[4] Amr Badr, Mohamed M. Abdelwahab, Ahmed M. Thabet, Ahmed M.Abdelsadek (2011), “Automatic Number Plate Recognition System”, Annals of the University of Craiova, Mathematics and Computer Science Series, Volume 38(1), 2011, pp. 62–71.

[5] Anish Lazrus, Siddhartha Choubey, Sinha G.R. (2011), “An Efficient Method Of Vehicle Number Plate Detection And Recognition”, International Journal of Machine Intelligence ISSN: 0975–2927 & E-ISSN: 0975–9166, Volume 3, Issue 3, 2011, pp. 134-137.

[6] Anuja P. Nagare (2011), “License Plate Character Recognition System using Neural Network”, International Journal of Computer Applications (0975 – 8887) Volume 25– No.10, pp. 36-39.

[7] Ayatullah Faruk Mollah, Nabamita Majumder, Subhadip Basu, Mita Nasipuri (2011), “Design of an Optical Character Recognition System for Camera-based Handheld Devices”, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 1, pp. 283-289.

[8] Choudhury A. Rahman, Wael Badawy, Ahmad Radmanesh (2003), “A Real Time Vehicle’s License Plate Recognition System”, Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS’03).

[9] Dalton Matsuo Tavares, Glauco Augusto de Paula Caurin, Adilson Gonzaga (2011), “TESSERACT Ocr: A Case Study For License Plate Recognition In Brazil”, Pesquisa e Tecnologia Minerva 7(1), pp. 19-26.

[10] Friedrich, M., Jehlicka, P., Schlaich, J. (2008), “Automatic number plate recognition for the observance of travel behavior”, 8th International Conference on Survey Methods in Transport: Harmonisation and Data Comparability, Annecy, Frankreich, pp.1-17.

[11] George Nagy, Thomas A. Nartker, Stephen V. Rice (2000), “Optical Character Recognition: An illustrated guide to the frontier”, Procs. Document Recognition and Retrieval VII, SPIE Vol. 3967, pp. 58-69.

[12] Jian-Xia Wang, Wan-Zhen Zhou, Jing-Fu Xue, Xin-Xin Liu (2010), “The Research And Realization Of Vehicle License Plate Character Segmentation And Recognition Technology”, Proceedings of the 2010 International Conference on Wavelet Analysis and Pattern Recognition, Qingdao, pp. 101-104.

[13] Kuo-Ming Hung, Ching-Tang Hsieh (2010), “A Real-Time Mobile Vehicle License PlateDetection and Recognition”, Tamkang Journal of Science and Engineering, Vol. 13, No. 4, pp. 433-442.

[14] Lisheng Jin, Huacai Xian , Jing Bie, Yuqin Sun, Haijing Hou Qingning Niu (2012), “License Plate Recognition Algorithm for Passenger Cars in Chinese Residential Areas”, Sensors 2012, 12, 8355-8370.

[15] Marcin Iwanowski (2005), “Automatic car number plate detection using morphological image processing”, Warsaw University of Technology, Institute of Control and Industrial Electronics EC Joint Research Centre, Institute of Environment and Sustainability, pp. 1-4.