Detection of the vehicle license plate using a kernel density with default search radius algorithm filter
With the contemporary improvements in intelligent transportation systems, automatic car License Plate Detection and Recognition (LPDR) has involved extensive research interests. It has a variety of potential applications in security and traffic control, and much work has been completed on the subjec...
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| Published in: | Optik (Stuttgart) Vol. 218; p. 164689 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier GmbH
01.09.2020
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| ISSN: | 0030-4026, 1618-1336 |
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| Abstract | With the contemporary improvements in intelligent transportation systems, automatic car License Plate Detection and Recognition (LPDR) has involved extensive research interests. It has a variety of potential applications in security and traffic control, and much work has been completed on the subject of LPDR. But, majority of prevailing procedures work well either at measured circumstances or with sophisticated image capture systems. It is still a challenging task to read license plates precisely in an open environment. The problem exists in extreme assortment in pattern of characters, such as dissimilar sizes, letterings, misrepresentation, obstruction or blurring, as well as high intricate backgrounds, similar to the common fonts in boards of shops, windows, handrails or construction blocks. In this study, a hybrid methodology has been established in recognizing license plates of candidates in a specific area. This research proposes a technique called kernel density function along with the binary technique that has been utilized for pre-processing. By means of the filtered binary value of the image, the position of car plate can be found by multiplying the binary value and original value of the image. The proposed method outperforms advanced techniques by a huge margin concerning about accuracy in detection as well as efficiency of run-time. The proposed method achieved 98.1 % accuracy to detect the License Plate (LP) and the computation cost is about 0.452 s. |
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| AbstractList | With the contemporary improvements in intelligent transportation systems, automatic car License Plate Detection and Recognition (LPDR) has involved extensive research interests. It has a variety of potential applications in security and traffic control, and much work has been completed on the subject of LPDR. But, majority of prevailing procedures work well either at measured circumstances or with sophisticated image capture systems. It is still a challenging task to read license plates precisely in an open environment. The problem exists in extreme assortment in pattern of characters, such as dissimilar sizes, letterings, misrepresentation, obstruction or blurring, as well as high intricate backgrounds, similar to the common fonts in boards of shops, windows, handrails or construction blocks. In this study, a hybrid methodology has been established in recognizing license plates of candidates in a specific area. This research proposes a technique called kernel density function along with the binary technique that has been utilized for pre-processing. By means of the filtered binary value of the image, the position of car plate can be found by multiplying the binary value and original value of the image. The proposed method outperforms advanced techniques by a huge margin concerning about accuracy in detection as well as efficiency of run-time. The proposed method achieved 98.1 % accuracy to detect the License Plate (LP) and the computation cost is about 0.452 s. |
| ArticleNumber | 164689 |
| Author | Christopher, C. Seldev Judson, D. Davix, X. Ascar |
| Author_xml | – sequence: 1 givenname: X. Ascar orcidid: 0000-0002-6795-7865 surname: Davix fullname: Davix, X. Ascar email: davixascar@gmail.com organization: Department of Electronics and Communication Engineering, RVR & JC College of Engineering, Andhra Pradesh, India – sequence: 2 givenname: C. Seldev surname: Christopher fullname: Christopher, C. Seldev email: cseldev@gmail.com organization: Department of Computer Science and Engineering, St. Xavier’s Catholic College of Engineering, Tamil Nadu, India – sequence: 3 givenname: D. surname: Judson fullname: Judson, D. email: judson_d2001@yahoo.co.i organization: Department of Electronics and Communication Engineering, St. Xavier’s Catholic College of Engineering, Tamil Nadu, India |
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| Cites_doi | 10.1109/TIP.2016.2631901 10.1109/25.901900 10.1109/TITS.2015.2496545 10.5626/JOK.2016.43.2.186 10.1016/j.eswa.2017.09.036 10.1023/A:1010852229904 10.1007/s00500-017-2696-2 10.17706/jsw.12.8.631-642 10.1109/TVT.2007.909284 10.1073/pnas.93.4.1591 10.1016/j.aap.2008.12.014 |
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| Keywords | Accuracy and run-time efficiency Default search radius algorithm filter Kernel density License plate detection and recognition |
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| References | Guo, Liu (bib0050) 2008; 57 Yuan, Zou, Zhao, Wang, Hu, Komodakis (bib0055) 2017; 26 Anderson (bib0115) 2009; 41 Naito, Tsukada, Yamada, Kozuka, Yamamoto (bib0035) 2000; 49 Lee, Hung (bib0090) 2017; 12 Sethian (bib0145) 1996; 93 Wei-gang, Guo-jiang, Xing (bib0020) 2002; Vol. 1 Islam, Sharif, Biswas (bib0125) 2015 Hung, Chuang, Hsieh (bib0005) 2007; Vol. 4 Gou, Wang, Yao, Li (bib0100) 2016; 17 Porikli, Kocak (bib0045) 2006 Al-Shemarry, Li, Abdulla (bib0085) 2018; 92 Huang, Guo (bib0025) 2003; Vol. 5 Chowdhury, Khan, Uddin (bib0080) 2017 Park, Hwang, Park (bib0030) 2003; 86 Wang, Liu, Liao, Lin, Horng (bib0140) 2010 Lim, Byun, Choi (bib0105) 2016; 43 Yang, Bai, Tian, Liu (bib0040) 2005; Vol. 9 Hsieh, Juan, Hung (bib0010) 2005; Vol. 2 Li, He (bib0065) 2018; 18 Hsieh (bib0075) 2017 Fotheringham, Brunsdon, Charlton (bib0110) 2000 Rafique, Pedrycz, Jeon (bib0070) 2018; 22 Kim, Kim (bib0095) 2017; 806 Duan, Duc, Du (bib0135) 2004 Freund (bib0015) 2001; 43 Rahmat, Joelianto, Purnama, Purnomo (bib0060) 2018; 45 Krishna (bib0130) 2015; 2 Saleem, Muazzam, Tahir, Farooq (bib0120) 2016 Li (10.1016/j.ijleo.2020.164689_bib0065) 2018; 18 Anderson (10.1016/j.ijleo.2020.164689_bib0115) 2009; 41 Rafique (10.1016/j.ijleo.2020.164689_bib0070) 2018; 22 Guo (10.1016/j.ijleo.2020.164689_bib0050) 2008; 57 Hsieh (10.1016/j.ijleo.2020.164689_bib0075) 2017 Naito (10.1016/j.ijleo.2020.164689_bib0035) 2000; 49 Duan (10.1016/j.ijleo.2020.164689_bib0135) 2004 Kim (10.1016/j.ijleo.2020.164689_bib0095) 2017; 806 Wang (10.1016/j.ijleo.2020.164689_bib0140) 2010 Rahmat (10.1016/j.ijleo.2020.164689_bib0060) 2018; 45 Gou (10.1016/j.ijleo.2020.164689_bib0100) 2016; 17 Hsieh (10.1016/j.ijleo.2020.164689_bib0010) 2005; Vol. 2 Lee (10.1016/j.ijleo.2020.164689_bib0090) 2017; 12 Sethian (10.1016/j.ijleo.2020.164689_bib0145) 1996; 93 Porikli (10.1016/j.ijleo.2020.164689_bib0045) 2006 Yuan (10.1016/j.ijleo.2020.164689_bib0055) 2017; 26 Hung (10.1016/j.ijleo.2020.164689_bib0005) 2007; Vol. 4 Wei-gang (10.1016/j.ijleo.2020.164689_bib0020) 2002; Vol. 1 Huang (10.1016/j.ijleo.2020.164689_bib0025) 2003; Vol. 5 Krishna (10.1016/j.ijleo.2020.164689_bib0130) 2015; 2 Al-Shemarry (10.1016/j.ijleo.2020.164689_bib0085) 2018; 92 Saleem (10.1016/j.ijleo.2020.164689_bib0120) 2016 Yang (10.1016/j.ijleo.2020.164689_bib0040) 2005; Vol. 9 Freund (10.1016/j.ijleo.2020.164689_bib0015) 2001; 43 Lim (10.1016/j.ijleo.2020.164689_bib0105) 2016; 43 Islam (10.1016/j.ijleo.2020.164689_bib0125) 2015 Park (10.1016/j.ijleo.2020.164689_bib0030) 2003; 86 Chowdhury (10.1016/j.ijleo.2020.164689_bib0080) 2017 Fotheringham (10.1016/j.ijleo.2020.164689_bib0110) 2000 |
| References_xml | – volume: 41 start-page: 359 year: 2009 end-page: 364 ident: bib0115 article-title: Kernel density estimation and K-means clustering to profile road accident hotspots publication-title: Accid. Anal. Prev. – start-page: 1 year: 2017 end-page: 6 ident: bib0075 article-title: Suspected vehicle detection for driving without license plate using symmelets and edge connectivity publication-title: 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) – volume: 17 start-page: 1096 year: 2016 end-page: 1107 ident: bib0100 article-title: Vehicle license plate recognition based on extremal regions and restricted Boltzmann machines publication-title: IEEE Trans. Intell. Transp. Syst. – volume: 26 start-page: 1102 year: 2017 end-page: 1114 ident: bib0055 article-title: A Robust and Efficient Approach to License Plate Detection publication-title: IEEE Trans. Image Process. – start-page: 747 year: 2004 end-page: 750 ident: bib0135 article-title: Combining Hough transform and contour algorithm for detecting vehicles’ license-plates publication-title: Proc.Int. Symp. Intell. Multimedia Video Speech Process – volume: 43 start-page: 293 year: 2001 end-page: 318 ident: bib0015 article-title: An adaptive version of the boost by majority algorithm publication-title: Mach. Learn. – volume: Vol. 5 start-page: 2984 year: 2003 end-page: 2989 ident: bib0025 article-title: Classifier fusion-based vehicle license plate detection algorithm publication-title: International Conference on Machine Learning and Cybernetics – volume: 806 start-page: 1 year: 2017 end-page: 6 ident: bib0095 article-title: A vehicle license plate recognition system using morphological ROI (Region of Interest) map generated from morphology operation publication-title: J. Phys. Conf. Ser. – volume: 43 start-page: 186 year: 2016 end-page: 195 ident: bib0105 article-title: Vehicle license plate detection in road images publication-title: J. KIISE – volume: Vol. 9 start-page: 5394 year: 2005 end-page: 5397 ident: bib0040 article-title: A vehicle license plate recognition system based on fixed color collocation publication-title: Proceedings of 2005 International Conference on Machine Learning and Cybernetics – start-page: 221 year: 2016 end-page: 225 ident: bib0120 article-title: Automatic license plate recognition using extracted features publication-title: 4th International Symposium on Computational and Business Intelligence (ISCBI) – volume: 12 start-page: 631 year: 2017 end-page: 643 ident: bib0090 article-title: Haar discrete wavelet-based and scanning window for vehicle license plate recognition publication-title: J. Softw. – volume: 49 start-page: 2309 year: 2000 end-page: 2319 ident: bib0035 article-title: Robust license-plate recognition method for passing vehicles under outside environment publication-title: IEEE Trans. Veh. Technol. – year: 2006 ident: bib0045 article-title: Robust license plate detection using covariance descriptor in a neural network framework publication-title: AVSS’06. IEEE International Conference on Video and Signal Based Surveillance – volume: 92 start-page: 216 year: 2018 end-page: 235 ident: bib0085 article-title: Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images publication-title: Expert Syst. Appl. – volume: 2 start-page: 1 year: 2015 end-page: 7 ident: bib0130 article-title: Automatic number plate recognition by using matlab publication-title: Int. J. Innov. Res. Electron. Commun. – volume: Vol. 2 start-page: 389 year: 2005 end-page: 392 ident: bib0010 article-title: Multiple license plate detection for complex background publication-title: 19th International Conference on Advanced Information Networking and Applications. AINA 2005 – volume: 45 start-page: 458 year: 2018 end-page: 471 ident: bib0060 article-title: An improved mean shift using adaptive fuzzy gaussian kernel for Indonesia vehicle license plate tracking publication-title: IAENG Int. J. Comput. Sci. – volume: Vol. 4 start-page: 415 year: 2007 end-page: 419 ident: bib0005 article-title: License plate detection based on expanded haar wavelet transform publication-title: Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007 – volume: 22 start-page: 6429 year: 2018 end-page: 6440 ident: bib0070 article-title: Vehicle license plate detection using region-based convolutional neural networks publication-title: Soft Comput. – start-page: 44 year: 2015 end-page: 48 ident: bib0125 article-title: Automatic vehicle number plate recognition using structured elements publication-title: IEEE Conference on Systems, Process and Control (ICSPC) – volume: 57 start-page: 1417 year: 2008 end-page: 1424 ident: bib0050 article-title: License plate localization and character segmentation with feedback self-learning and hybrid binarization techniques publication-title: Ieee Trans. Veh. Technol. – volume: Vol. 1 start-page: 748 year: 2002 end-page: 751 ident: bib0020 article-title: A study of locating vehicle license plate based on color feature and mathematical morphology publication-title: 6th International Conference on Signal Processing – start-page: 142 year: 2017 end-page: 154 ident: bib0080 article-title: Vehicle license plate detection using image segmentation and morphological image processing publication-title: International Symposium on Signal Processing and Intelligent Recognition Systems – year: 2000 ident: bib0110 article-title: Quantitative Geography: Perspectives on Spatial Data Analysis – start-page: 63 year: 2010 end-page: 70 ident: bib0140 article-title: A vehicle license plate recognition system based on spatial/frequency domain filtering and neural networks publication-title: Proc. Comput. Collective Intell. Tech. Applicat., LNCS 6423 – volume: 93 start-page: 1591 year: 1996 end-page: 1595 ident: bib0145 article-title: A fast marching level set method for monotonically advancing fronts publication-title: Natl. Acad. Sci. – volume: 86 start-page: 664 year: 2003 end-page: 669 ident: bib0030 article-title: The extraction of vehicle license plate region using edge directional properties of wavelet subband publication-title: IEICE Trans. Inf. Syst. – volume: 18 start-page: 1021 year: 2018 end-page: 1033 ident: bib0065 article-title: A new algorithm of vehicle license plate location based on convolutional neural network publication-title: J. Comput. Methods Sci. Eng. – volume: 45 start-page: 458 issue: 3 year: 2018 ident: 10.1016/j.ijleo.2020.164689_bib0060 article-title: An improved mean shift using adaptive fuzzy gaussian kernel for Indonesia vehicle license plate tracking publication-title: IAENG Int. J. Comput. Sci. – volume: 2 start-page: 1 year: 2015 ident: 10.1016/j.ijleo.2020.164689_bib0130 article-title: Automatic number plate recognition by using matlab publication-title: Int. J. Innov. Res. Electron. Commun. – volume: 86 start-page: 664 issue: 3 year: 2003 ident: 10.1016/j.ijleo.2020.164689_bib0030 article-title: The extraction of vehicle license plate region using edge directional properties of wavelet subband publication-title: IEICE Trans. Inf. Syst. – start-page: 1 year: 2017 ident: 10.1016/j.ijleo.2020.164689_bib0075 article-title: Suspected vehicle detection for driving without license plate using symmelets and edge connectivity – volume: 26 start-page: 1102 issue: 3 year: 2017 ident: 10.1016/j.ijleo.2020.164689_bib0055 article-title: A Robust and Efficient Approach to License Plate Detection publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2016.2631901 – year: 2006 ident: 10.1016/j.ijleo.2020.164689_bib0045 article-title: Robust license plate detection using covariance descriptor in a neural network framework – volume: 49 start-page: 2309 issue: 6 year: 2000 ident: 10.1016/j.ijleo.2020.164689_bib0035 article-title: Robust license-plate recognition method for passing vehicles under outside environment publication-title: IEEE Trans. Veh. Technol. doi: 10.1109/25.901900 – volume: Vol. 1 start-page: 748 year: 2002 ident: 10.1016/j.ijleo.2020.164689_bib0020 article-title: A study of locating vehicle license plate based on color feature and mathematical morphology – volume: 18 start-page: 1021 issue: 4 year: 2018 ident: 10.1016/j.ijleo.2020.164689_bib0065 article-title: A new algorithm of vehicle license plate location based on convolutional neural network publication-title: J. Comput. Methods Sci. Eng. – volume: 17 start-page: 1096 issue: 4 year: 2016 ident: 10.1016/j.ijleo.2020.164689_bib0100 article-title: Vehicle license plate recognition based on extremal regions and restricted Boltzmann machines publication-title: IEEE Trans. Intell. Transp. Syst. doi: 10.1109/TITS.2015.2496545 – volume: 43 start-page: 186 issue: 2 year: 2016 ident: 10.1016/j.ijleo.2020.164689_bib0105 article-title: Vehicle license plate detection in road images publication-title: J. KIISE doi: 10.5626/JOK.2016.43.2.186 – volume: Vol. 5 start-page: 2984 year: 2003 ident: 10.1016/j.ijleo.2020.164689_bib0025 article-title: Classifier fusion-based vehicle license plate detection algorithm – year: 2000 ident: 10.1016/j.ijleo.2020.164689_bib0110 – start-page: 63 year: 2010 ident: 10.1016/j.ijleo.2020.164689_bib0140 article-title: A vehicle license plate recognition system based on spatial/frequency domain filtering and neural networks – start-page: 747 year: 2004 ident: 10.1016/j.ijleo.2020.164689_bib0135 article-title: Combining Hough transform and contour algorithm for detecting vehicles’ license-plates – volume: Vol. 2 start-page: 389 year: 2005 ident: 10.1016/j.ijleo.2020.164689_bib0010 article-title: Multiple license plate detection for complex background – volume: 92 start-page: 216 year: 2018 ident: 10.1016/j.ijleo.2020.164689_bib0085 article-title: Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2017.09.036 – start-page: 221 year: 2016 ident: 10.1016/j.ijleo.2020.164689_bib0120 article-title: Automatic license plate recognition using extracted features – volume: 43 start-page: 293 issue: 3 year: 2001 ident: 10.1016/j.ijleo.2020.164689_bib0015 article-title: An adaptive version of the boost by majority algorithm publication-title: Mach. Learn. doi: 10.1023/A:1010852229904 – volume: 806 start-page: 1 issue: 1 year: 2017 ident: 10.1016/j.ijleo.2020.164689_bib0095 article-title: A vehicle license plate recognition system using morphological ROI (Region of Interest) map generated from morphology operation publication-title: J. Phys. Conf. Ser. – volume: 22 start-page: 6429 issue: 19 year: 2018 ident: 10.1016/j.ijleo.2020.164689_bib0070 article-title: Vehicle license plate detection using region-based convolutional neural networks publication-title: Soft Comput. doi: 10.1007/s00500-017-2696-2 – volume: Vol. 4 start-page: 415 year: 2007 ident: 10.1016/j.ijleo.2020.164689_bib0005 article-title: License plate detection based on expanded haar wavelet transform – volume: Vol. 9 start-page: 5394 year: 2005 ident: 10.1016/j.ijleo.2020.164689_bib0040 article-title: A vehicle license plate recognition system based on fixed color collocation – volume: 12 start-page: 631 issue: 8 year: 2017 ident: 10.1016/j.ijleo.2020.164689_bib0090 article-title: Haar discrete wavelet-based and scanning window for vehicle license plate recognition publication-title: J. Softw. doi: 10.17706/jsw.12.8.631-642 – volume: 57 start-page: 1417 issue: 3 year: 2008 ident: 10.1016/j.ijleo.2020.164689_bib0050 article-title: License plate localization and character segmentation with feedback self-learning and hybrid binarization techniques publication-title: Ieee Trans. Veh. Technol. doi: 10.1109/TVT.2007.909284 – start-page: 142 year: 2017 ident: 10.1016/j.ijleo.2020.164689_bib0080 article-title: Vehicle license plate detection using image segmentation and morphological image processing – volume: 93 start-page: 1591 issue: 4 year: 1996 ident: 10.1016/j.ijleo.2020.164689_bib0145 article-title: A fast marching level set method for monotonically advancing fronts publication-title: Natl. Acad. Sci. doi: 10.1073/pnas.93.4.1591 – volume: 41 start-page: 359 issue: 3 year: 2009 ident: 10.1016/j.ijleo.2020.164689_bib0115 article-title: Kernel density estimation and K-means clustering to profile road accident hotspots publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2008.12.014 – start-page: 44 year: 2015 ident: 10.1016/j.ijleo.2020.164689_bib0125 article-title: Automatic vehicle number plate recognition using structured elements |
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| SubjectTerms | Accuracy and run-time efficiency Default search radius algorithm filter Kernel density License plate detection and recognition |
| Title | Detection of the vehicle license plate using a kernel density with default search radius algorithm filter |
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