International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.7, No.5, Apr. 2015

A Novel Approach for Detecting Number Plate Based on Overlapping Window and Region Clustering for Indian Conditions

Full Text (PDF, 547KB), PP.58-65

Views:31   Downloads:0


Chirag Patel, Atul Patel, Dipti Shah

Index Terms

Number Plate;Segmentation;Edge Detection;ANPR;Region Clustering


Automatic Number Plate Recognition (ANPR) is becoming very popular and topic of research for the Intelligent Transportation System (ITS). Many researchers are working in this direction, as it is the topic of interest. In proposed system, we have presented a novel approach for number plate (NP) detection, which can be useful for Indian conditions. The system works well in different illumination conditions and 24 hours manner. Experiments achieved excellent accuracy of 98.88% of overall accuracy of NP detection on 90 vehicle images with different conditions and captured at different timing during day and night. Out of these 90 images, 89 images were segmented successfully. The minimum image size was 800 X 600 pixels. The system was developed using the Microsoft .NET 3.5 framework and Visual Studio 2008 as IDE with the Intel core i3 2.13 GHz processor having 3 GB RAM. Other systems discussed in this paper reported better processing time of less than 1s, but some of these systems work under restricted conditions and accuracy is also not as good as our system.

Cite This Paper

Chirag Patel, Atul Patel, Dipti Shah,"A Novel Approach for Detecting Number Plate Based on Overlapping Window and Region Clustering for Indian Conditions", IJIGSP, vol.7, no.5, pp.58-65, 2015.DOI: 10.5815/ijigsp.2015.05.07


[1]S. Nashat, A. Abdullah, and M.Z. Abdullah, "Unimodal thresholding for Laplacian-based Canny–Deriche filter," Pattern Recognition Letters, vol. 33, no. 10, pp. 1269-1286, July 2012.

[2]H. Erdinc Kocer and K. Kursat Cevik, "Artificial neural netwokrs based vehicle license plate recognition," Procedia Computer Science, vol. 3, pp. 1033-1037, 2011.

[3]R. Medina-Carnicer, R. Muñoz-Salinas, A. Carmona-Poyato, and F.J. Madrid-Cuevas, "A novel histogram transformation to improve the performance of thresholding methods in edge detection," Pattern Recognition Letters, vol. 32, no. 5, pp. 676-69, April 2011.

[4]Christos Nikolaos E. Anagnostopoulos, Ioannis E. Anagnostopoulos, Vassili Loumos, and Eleftherios Kayafas, "A License Plate-Recognition Algorithm for Intelligent Transportation System Applications," pp. 377-392, 2006.

[5]Kaushik Deb, Ibrahim Kahn, Anik Saha, and Kang-Hyun Jo, "An Efficeint Method of Vehicle License Plate Recognition Based on Sliding Concentric Windows and Artificial Neural Network," Procedia Technology, vol. 4, pp. 812-819, 2012.

[6]Prathamesh Kulkarni, Ashish Khatri, Prateek Banga, and Kushal Shah, "Automatic Number Plate Recognition (ANPR)," in RADIOELEKTRONIKA. 19th International Conference, 2009.

[7]Ying Wen et al., "An Algorithm for License Plate recognition Applied to Intelligent Transportation System," IEEE Transactions of Intelligent Transportation Systems, pp. 1-16, 2011.

[8]Zhen-Xue Chen, Cheng-Yun Liu, Fa-Liang Chang, and Guo-You Wang, "Automatic License-Plate Location and Recognition Based on Feature Saliance," IEEE Transactions on Vehicular Technology, vol. 58, no. 7, pp. 3781-3785, 2009.

[9]Shen-Zheng Wang and Hsi-Jian Lee, "A cascade framework for real-time statistical plate recognition system," IEEE Trans. Inf. Forensics security, vol. 2, no. 2, pp. 267-282, 2007.

[10]Jianbin Jiao, Qixiang Ye, and Qingming Huang, "A configurabe method for multi-style license plate recognition," Pattern Recognition, vol. 42, no. 3, pp. 358-369, 2009.

[11]Hui Wu and Bing Li, "License Plate Recognition System," in International Conference on Multimedia Technology (ICMT), 2011, pp. 5425-5427.

[12]Ch.Jaya Lakshmi, Dr.A.Jhansi Rani, Dr.K.Sri Ramakrishna, and M. KantiKiran, "A Novel Approach for Indian License Recognition System," International Journal of Advanced Engineering Sciences and Technologies, vol. 6, no. 1, pp. 10-14, 2011.

[13]Mahmood Ashoori Lalimi, Sedigheh Ghofrani, and Des McLernon, "A vehicle license plate detection method using region and edge based methods," Computers & Electrical Engineering, November 2012.

[14]M. S. Sarfraz et al., "Real-Time automatic license plate recognition for CCTV forensic applications," Journal of Real-Time Image Processing- Springer Berlin/Heidelberg, 2011.

[15]A Roy and D.P Ghoshal, "Number Plate Recognition for use in different countries using an improved segmenation," in 2nd National Conference on Emerging Trends and Applications in Computer Science(NCETACS), 2011, pp. 1-5.

[16]Lihong Zheng, Xiangjian He, Bijan Samali, and Laurence T. Yang, "An algorithm for accuracy enhancement of license recognition," Journal of Computer and System Sciences, , 2012.

[17]Zhigang Zhang and Cong Wang, "The Reseach of Vehicle Plate Recogniton Technical Based on BP Neural Network," AASRI Procedia, vol. 1, pp. 74-81, 2012.

[18]T Naito, T Tsukada, K Kozuka, and S yamamoto, "Robust license-plate recognition method for passing vehicles under outside environment," IEEE Transactions on Vehicular Technology, vol. 49, no. 6, pp. 2309-2319, 2000.

[19]Yuntao Cui and Qian Huang, "Extracting character of license pltes from video sApplicationsequences," Machine Vision and Applications, Springer Verlag, p. 308, 1998.

[20]Vladimir Shapiro and Georgi Gluhchev Dimo Dimov, "Towards a Multinational Car License Plate Recognition system," Machine Vision and Appplcations, Springer-Verlag, pp. 173-183, 2006.

[21]E.N Vesnin and V.A Tsarev, "Segmentation of images of license plates," Pattern Recogniton and Image Analysis, pp. 108-110, 2006.

[22]A Kang, D. J;, "Dynamic programming -based method for extraction of license numbers of speeding vehicles on the highway ," International Journal of Automotive Technology, pp. 205-210, 2009.

[23]P. Viola and M JOnes, "Robust real-time face detection," Int. J. Comput. Vis, vol. 57, no. 2, pp. 137-154, 2004.

[24]Shyang-Lih Chang, Li-Shien Chen, Yun-Chung Chung, and Sei-Wan Chen, "Automatic license plate recogniton," IEEE Transactions on Intelligent Transportation Systems, vol. 5, no. 1, pp. 42-53, 2004.

[25]Rami Al-Hmouz and Subhash Challa, "License plate location based on a probabilistic model," Machin Vision and Applications, Springer-Verlag, pp. 319-330, 2010.

[26]J. K. Chang, Ryoo Seungteak, and Heuiseok Lim, "Real-time vehicle tracking mechanism with license plate recognition from reoad images," The journal of super computing , pp. 1-12, 2011.

[27]Nicolas Thome, Antoine Vacavant, Lionel Robinault, and Serge Miguet, "A cognitive and video-based approach for multinational License Plate Recognition ," Machine Vision and Applications, Springer-Verlag, pp. 389-407, 2011.

[28]Mehmet Sabih Aksoy and Ahmet Kürsat Türker Gültekin Çagıl, "Number-plate recognition using inductive learning," Robotics and Autonomous Systems, vol. 33, no. 2-3, pp. 149-153, 2000.

[29]Wenjing Jia, Huaifeng Zhang, and Xiangjian He, "Region-based license plate detection," Journal of Network and Computer Applications, vol. 30, no. 4, pp. 1324-1333, November 2007.

[30]Feng Wang et al., "Fuzzy-based algorithm for color recognition of license plates," Pattern Recognition Letters, vol. 29, no. 7, pp. 1007-1020, May 2008.

[31]Vahid Abolghasemi and Alireza Ahmadyfard, "An edge-based color aided method for license plate detection," Image and Vision Computing , vol. 27, no. 8, pp. 1134-1142, July 2009.

[32]Chirag Patel, Atul Patel, and Dipti Shah, "Threshold Based Image Binarization Technique for Number Plate Segmentation," International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, no. 7, pp. 108-114, July 2013.

[33]Maria Akther, Md. Kaiser Ahmed, Md. Zahid Hasan,"Detection of Vehicle's Number Plate at Nighttime using Iterative Threshold Segmentation (ITS) Algorithm", IJIGSP, vol.5, no.12, pp. 62-70, 2013.DOI: 10.5815/ijigsp.2013.12.09.