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Crack Detection on Inner Tunnel Surface Using Image Processing Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Vehicle Number Plate Detection: An Edge Image Based Approach

Authors : Kalyan Kumar Jena, Soumya Ranjan Nayak, Sasmita Mishra, Sarojananda Mishra

Published in: Progress in Advanced Computing and Intelligent Engineering

Publisher: Springer Singapore

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Abstract

Transportation system (vehicle communication) plays a major role in today’s scenario. Detection of vehicle number plate exactly in blurry conditions was the most challenging issue found in the last three decades. Although many intensive studies were undertaken, none addressed this problem exhaustively. Various methods are introduced by several researchers for detecting the vehicle number from the vehicle number plate images. The purpose of this study was to investigate this current issue by implementing an edge-based approach on the basis of quantitative combination of Canny, Morphological and Sobel methods for the accurate detection of vehicle number in blurry conditions. The experimental results demonstrated that the proposed scheme outperforms its counterparts in terms of Sobel, Prewitt, Roberts, Laplacian of Gaussian (LoG), Morphological and Canny methods in all aspects with higher peak signal to noise ratio (PSNR) and signal to noise ratio (SNR) values. Hence, the proposed hybrid scheme is better and robust and results in accurate estimation of vehicle number from the blurry vehicle number plate (BVNP) images for the given datasets.

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Literature
1.
Jagadamba G, Shrinivasacharya P, Chayashree G (2019) Campus vehicle monitoring through image processing. In: Emerging research in electronics, computer science and technology. Springer, Singapore, pp 305–315
2.
Tejas K, Reddy KA, Reddy DP, Bharath KP, Karthik R, Kumar MR (2019) Efficient license plate recognition system with smarter interpretation through IoT. In: Soft computing for problem solving, Springer, Singapore, pp 207–220
3.
Yonetsu S, Yutaro I, Yen WC (2019) Two-stage YOLOv2 for accurate license-plate detection in complex scenes. In: 2019 International Conference on Consumer Electronics, IEEE, pp 1–4
4.
Shemarry A, Meeras S, Yan L, Shahab A (2019) An efficient texture descriptor for the detection of license plates from vehicle images in difficult conditions. In: IEEE transactions on intelligent transportation systems, pp 1–12
5.
Xiang H, Yong Z, Yule Y, Guiying Z, Xuefeng H (2019) Lightweight fully convolutional network for license plate detection. Optik 178:1185–1194CrossRef
6.
Angara S, Melvin R (2019) License plate character recognition using binarization and convolutional neural networks. In: Science and Information Conference. Springer, Cham pp 272–283
7.
Yousefi E, Amir H, Nazem D, Jafar JA, Mohsen KK (2019) Real-time scale-invariant license plate detection using cascade classifiers. In: Multimedia information processing and retrieval conference. IEEE, pp 399–402
8.
Kessentini Y, Mohamed DB, Sourour A, Achraf C (2019) A two-stage deep neural network for multi-norm license plate detection and recognition. In: Expert systems with applications, pp 159–170
9.
Babbar S, Saommya K, Navroz D, Kartik S, Sanjeev P (2018) A new approach for vehicle number plate detection. In: Eleventh international conference on contemporary computing, IEEE, pp 1–6
10.
Imaduddin H, Muhamad KA, Muhammad IP, Indra AS, Anhar R (2018) Indonesian vehicle license plate number detection using deep convolutional neural network. In: International electronics symposium on knowledge creation and intelligent computing, IEEE, pp 158–163
11.
Lee Y, Jae WY, Yoojin H, Juhyun L, Moongu J (2018) Accurate license plate recognition and super-resolution using a generative adversarial networks on traffic surveillance video. In: International conference on consumer electronics-Asia, IEEE, pp 1–4
12.
Saini MK, Saini S (2017) Multiwavelet transform based license plate detection. J Vis Commun Image Represent 44:128–138CrossRef
13.
Prakash AR, Jagannath M, Adalarasu K, Babu GM (2017) Vehicle license plate detection and recognition using non-blind image de-blurring algorithm. In: International conference on Nextgen electronic technologies: silicon to software. IEEE, pp 46–49
14.
Mayan JA, Kumar AD, Kumar M, Livingston A, Reddy SP (2016) Number plate recognition using template comparison for various fonts in MATLAB. In: International conference on computational intelligence and computing research, IEEE, pp 1–6
15.
Azam S, Islam MM (2016) Automatic license plate detection in hazardous condition. J Vis Commun Image Represent 36:172–186CrossRef
16.
Wang M, Jesse SJ, Yifei J, Xianfeng H, Lei G, Liping X (2016) The improved canny edge detection algorithm based on an anisotropic and genetic algorithm. In: Chinese conference on image and graphics technologies, Springer, Singapore, pp 115–124
17.
Xin G, Chen K, Hu X (2012) An improved Canny edge detection algorithm for color image. In: 10th international conference on industrial informatics, IEEE, pp 113–117
18.
Lahani J, Sulaiman HA, Muniandy RK, Bade A (2018) An enhanced edge detection method based on integration of entropy—Canny technique. Adv Sci Lett 24:1575–1578CrossRef
19.
Othman Z, Azizi A (2017) An adaptive threshold based on multiple resolution levels for canny edge detection. In: International conference of reliable information and communication technology. Springer, Cham, pp 316–323
20.
Shanmugavadivu P, Kumar A (2014) Modified eight-directional canny for robust edge detection. In: International conference on contemporary computing and informatics, IEEE, pp 751–756
21.
Yu-Qian Z, Gui WH, Chen ZC, Tang JT, Li LY (2006) Medical images edge detection based on mathematical morphology. In: Engineering in medicine and biology 27th annual conference, IEEE, pp 6492–6495
22.
Gupta S, Mazumdar SG (2013) Sobel edge detection algorithm. Int J Comput Sci Manage Res 2:1578–1583
23.
Chaple G, Daruwala RD (2014) Design of Sobel operator based image edge detection algorithm on FPGA. In : International conference on communication and signal processing. IEEE, pp 788–792
24.
Alshorman MA, Junoh AK, Wan, Zuki A, Wan MM, Hafiz Z, Afifi M (2018) Leukaemia’s cells pattern tracking via multi-phases edge detection techniques. J Telecommun Electr Comput Eng 10:33–37
25.
Wan J, Xiaofu H, Pengfei S (2007) An Iris image quality assessment method based on Laplacian of gaussian operation. In: MVA, pp 248–251
26.
Patel J, Patwardhan J, Sankhe K, Kumbhare R (2011) Fuzzy inference based edge detection system using Sobel and Laplacian of Gaussian operators. In: Proceedings of the international conference and workshop on emerging trends in technology. ACM, pp 694–697
27.
Gao W, Xiaoguang Z, Lei Y, Huizhong L (2010) An improved Sobel edge detection. In : 3rd international conference on computer science and information technology, vol 5. IEEE, pp 67–71
28.
Romani L, Milvia R, Daniela S (2019) Edge detection methods based on RBF interpolation. J Comput Appl Math 349:532–547MathSciNetCrossRef
29.
Nayak SR, Mishra J, Palai G (2019) Analysing roughness of surface through fractal dimension: a review. Image Vis Comput 89:21–34CrossRef
30.
Jena KK, Mishra S, Mishra SN, Bhoi SK, Nayak SR (2019) MRI brain tumor image analysis using fuzzy rule based approach. J Res Lepid 50:98–112CrossRef
31.
Nayak SR, Mishra J (2018) A modified triangle box-counting with precision in error fit. J Inf Optim Sci 39:113–128
32.
Eser SERT, Dery AVCI (2019) A new edge detection approach via neutrosophy based on maximum norm entropy. Expert Syst Appl 115:499–511CrossRef
33.
Jena KK, Mishra S, Mishra SN, Bhoi SK (2019) 2L-ESB: a two level security scheme for edge based image steganography. Int J Emerg Technol 10:29–38
34.
Nayak SR, Khandual A, Mishra J (2018) Ground truth study on fractal dimension of color images of similar texture. J Text Inst 109:1159–1167CrossRef
35.
Quan S, Deliang X, Boli X, Gangyao K (2019) Edge detection for PolSAR images integrating scattering characteristics and optimal contrast. IEEE Geosci Remote Sens Lett, pp 1–5
36.
Nayak SR, Mishra J, Jena PM (2018) Fractal analysis of image sets using differential box counting techniques. Int J Inf Technol 10:39–47
37.
Lv C, Kaifu W, Guoqing G, Yun P (2019) Accurate full-edge detection and depth measurement of internal defects using digital speckle pattern interferometry. NDT E Int 102:1–8CrossRef
38.
Nayak SR, Mishra J, Palai G (2018) A modified approach to estimate fractal dimension of gray scale images. Optik 161:136–145CrossRef
39.
Qin Y, Yanli W, Qifu W, Suping Y (2019) Method for pests detecting in stored grain based on spectral residual saliency edge detection. Grain Oil Sci Technol 69:1282–1290
40.
Nayak SR, Mishra J, Padhy R (2016) An improved algorithm to estimate the fractal dimension of gray scale images. In: International conference on signal processing, communication, power and embedded system, IEEE, pp 1109–1114
Metadata
Title
Vehicle Number Plate Detection: An Edge Image Based Approach
Authors
Kalyan Kumar Jena
Soumya Ranjan Nayak
Sasmita Mishra
Sarojananda Mishra
Copyright Year
2021
Publisher
Springer Singapore
Book
Progress in Advanced Computing and Intelligent Engineering

Print ISBN: 978-981-15-6583-0

Electronic ISBN: 978-981-15-6584-7

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-6584-7_3