<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="4.3.0" xmlns="http://www.crossref.org/doi_resources_schema/4.3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/doi_resources_schema/4.3.0 http://www.crossref.org/schema/deposit/doi_resources4.3.0.xsd">
<head>
<doi_batch_id>d7eafb67-2cd3-4585-a57a-9d84aa45fd99</doi_batch_id>
<depositor>
<name>beie</name>
<email_address>director@blueeyesintelligence.org</email_address>
</depositor>
</head>
<body>
<doi_citations>
<doi>10.35940/ijitee.L9342.11111222</doi>
<citation_list><citation key="ref0"><journal_title>Signal &amp; Image Processing</journal_title><author>Abubakar</author><cYear>2012</cYear><doi>10.5121/sipij.2012.3602</doi><article_title>A Study of Region-Based and Contourbased Image Segmentation</article_title><unstructured_citation>Abubakar, Fari. (2012). A Study of Region-Based and Contourbased Image Segmentation. Signal &amp; Image Processing : An International Journal. 3. 15-22. 10.5121/sipij.2012.3602. [CrossRef]</unstructured_citation></citation><citation key="ref1"><unstructured_citation>Hsiao, Ying-Tung &amp; Chuang, Cheng-Long &amp; Jiang, Joe-Air &amp; Chien, Cheng-Chih. (2005). A Contour based Image Segmentation Algorithm using Morphological Edge Detection. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 3. 2962 - 2967 Vol. 3. 10.1109/ICSMC.2005.1571600.</unstructured_citation></citation><citation key="ref2"><journal_title>10</journal_title><author>Hemalatha</author><cYear>2018</cYear><doi>10.5772/intechopen.74576</doi><article_title>Active Contour Based Segmentation Techniques for Medical Image Analysis</article_title><unstructured_citation>Hemalatha, R.J. &amp; Thamizhvani, T.R. &amp; Dhivya, A. &amp; Joseph, Josline &amp; Babu, Bincy &amp; Chandrasekaran, R.. (2018). Active Contour Based Segmentation Techniques for Medical Image Analysis. 10.5772/intechopen.74576. [CrossRef]</unstructured_citation></citation><citation key="ref3"><doi>10.1016/j.ins.2018.02.007</doi><unstructured_citation>Jiaqing Miao, Ting-Zhu Huang, Xiaobing Zhou, Yugang Wang, Jun Liu, Image segmentation based on an active contour model of partial image restoration with local cosine fitting energy, Information Sciences, Volume 447, 2018, Pages 52-71, ISSN 0020-0255, https://doi.org/10.1016/j.ins.2018.02.007. [CrossRef]</unstructured_citation></citation><citation key="ref4"><unstructured_citation>Malik, J., &amp; Maire, M. (2009). Contour detection and image segmentation.</unstructured_citation></citation><citation key="ref5"><doi>10.14445/22315381/IJETT-V7P262</doi><unstructured_citation>S.Karthick , Dr.K.Sathiyasekar , A.Puraneeswari, Article:A Survey Based on Region Based Segmentation, International Journal of Engineering Trends and Technology(IJETT), 7(3),143-147, published by seventh sense research group [CrossRef]</unstructured_citation></citation><citation key="ref6"><doi>10.1371/journal.pone.0255948</doi><unstructured_citation>Yu, H., Sun, P., He, F., &amp; Hu, Z. (2021). A weighted region-based level set method for image segmentation with intensity inhomogeneity. PloS one, 16(8), e0255948. https://doi.org/10.1371/journal.pone.0255948 [CrossRef]</unstructured_citation></citation><citation key="ref7"><doi>10.1109/ICACCCT.2016.7831610</doi><unstructured_citation>K. M. Babu and M. V. Raghunadh, &quot;Vehicle number plate detection and recognition using bounding box method,&quot; 2016 International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), 2016, pp. 106-110, doi: 10.1109/ICACCCT.2016.7831610. [CrossRef]</unstructured_citation></citation><citation key="ref8"><journal_title>Intelligent Transportation Systems IEEE Transactions on 9</journal_title><author>Anagnostopoulos</author><cYear>2008</cYear><doi>10.1109/TITS.2008.922938</doi><article_title>License Plate Recognition From Still Images and Video Sequences: A Survey</article_title><unstructured_citation>Anagnostopoulos, Christos-Nikolaos &amp; Anagnostopoulos, Ioannis &amp; Psoroulas, I.D. &amp; Loumos, Vassili &amp; Kayafas, Eleftherios. (2008). License Plate Recognition From Still Images and Video Sequences: A Survey. Intelligent Transportation Systems, IEEE Transactions on. 9. 377 - 391. 10.1109/TITS.2008.922938. [CrossRef]</unstructured_citation></citation><citation key="ref9"><doi>10.1109/ICALIP.2008.4590154</doi><unstructured_citation>Feng Yang and Fan Yang, &quot;Detecting license plate based on top-hat transform and wavelet transform,&quot; 2008 International Conference on Audio, Language and Image Processing, 2008, pp. 998-1003, doi: 10.1109/ICALIP.2008.4590154. [CrossRef]</unstructured_citation></citation><citation key="ref10"><doi>10.1109/IDAACS.2003.1249531</doi><unstructured_citation>V. Koval, V. Turchenko, V. Kochan, A. Sachenko and G. Markowsky, &quot;Smart license plate recognition system based on image processing using neural network,&quot; Second IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings, 2003, pp. 123-127, doi: 10.1109/IDAACS.2003.1249531. [CrossRef]</unstructured_citation></citation><citation key="ref11"><unstructured_citation>K. V. Murygin, &quot;Normalizing the image of a vehicle license plate and segmentation of characters for subsequent recognition,&quot; Iskusstvennyi Intellekt, No. 3, 364-369 (2010)</unstructured_citation></citation><citation key="ref12"><journal_title>399-402</journal_title><author>He</author><cYear>2008</cYear><doi>10.1109/mmsp.2008.4665111</doi><article_title>Segmentation of characters on car license plates</article_title><unstructured_citation>He, Xiangjian &amp; Zheng, Lihong &amp; Wu, Qiang &amp; Jia, Wenjing &amp; Samali, B. &amp; Palaniswami, Marimuthu. (2008). Segmentation of characters on car license plates. 399-402. 10.1109/MMSP.2008.4665111 [CrossRef]</unstructured_citation></citation><citation key="ref13"><unstructured_citation>Image Recognition for Automatic Number Plate Surveillance P.Meghana, S. SagarImambi, P. Sivateja, K. Sairam International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-4, February 2019</unstructured_citation></citation><citation key="ref14"><unstructured_citation>Bajaj, Varun &amp; Patwari, Madhurima &amp; Mitra, Gaurav. (2017). AUTOMATIC LICENSE PLATE RECOGNITION.</unstructured_citation></citation><citation key="ref15"><unstructured_citation>Bhat, R., &amp; Mehandia, B. (2014). RECOGNITION OF VEHICLE NUMBER PLATE USING MATLAB.</unstructured_citation></citation><citation key="ref16"><unstructured_citation>Ganapathy, V. &amp; Lui, Dennis. (2008). A Malaysian Vehicle License Plate Localization and Recognition System. Journal of Systemics, Cybernetics and Informatics.</unstructured_citation></citation><citation key="ref17"><journal_title>International Journal of Computer Applications (IJCA)</journal_title><author>Patel</author><cYear>2013</cYear><doi>10.5120/11871-7665</doi><article_title>Automatic Number Plate Recognition System (ANPR): A Survey</article_title><unstructured_citation>Patel, Chirag &amp; Shah, D. &amp; Patel, Atul. (2013). Automatic Number Plate Recognition System (ANPR): A Survey. International Journal of Computer Applications (IJCA). 69. 21-33. 10.5120/11871-7665. [CrossRef]</unstructured_citation></citation><citation key="ref18"><doi>10.1109/ICACCCN.2018.8748287</doi><unstructured_citation>A. Kashyap, B. Suresh, A. Patil, S. Sharma and A. Jaiswal, &quot;Automatic Number Plate Recognition,&quot; 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), 2018, pp. 838-843, doi: 10.1109/ICACCCN.2018.8748287. [CrossRef]</unstructured_citation></citation><citation key="ref19"><doi>10.2139/ssrn.3879574</doi><unstructured_citation>Rai, Vanshika and Kamthania, Deepali, Automatic Number Plate Recognition (July 3, 2021). Proceedings of the International Conference on Innovative Computing &amp; Communication (ICICC) 2021, Available at SSRN: https://ssrn.com/abstract=3879574 or http://dx.doi.org/10.2139/ssrn.3879574 [CrossRef]</unstructured_citation></citation><citation key="ref20"><doi>10.9735/0975-2927.3.3.134-137</doi><unstructured_citation>Anish Lazrus, Siddhartha Choubey, G.R. Sinha, 2011. An Efficient Method of Vehicle Number Plate Detection and Recognition, International Journal Of Machine Intelligence, Volume 3, pp-134-13 [CrossRef]</unstructured_citation></citation><citation key="ref21"><journal_title>Procedia Technology 1</journal_title><author>Öztürk</author><cYear>2012</cYear><doi>10.1016/j.protcy.2012.02.024</doi><article_title>A New License Plate Recognition System Based on Probabilistic Neural Networks</article_title><unstructured_citation>Öztürk, Fikriye &amp; Özen, Figen. (2012). A New License Plate Recognition System Based on Probabilistic Neural Networks. Procedia Technology. 1. 124-128. 10.1016/j.protcy.2012.02.024. [CrossRef]</unstructured_citation></citation><citation key="ref22"><doi>10.1109/ICCEA.2010.192</doi><unstructured_citation>Chandran, Saravanan. (2010). Color Image to Grayscale Image Conversion. 196 - 199. 10.1109/ICCEA.2010.192. [CrossRef]</unstructured_citation></citation><citation key="ref23"><unstructured_citation>Lim, Wei Hong. (2014). Illumination Estimation Based Color to Grayscale Conversion Algorithms.</unstructured_citation></citation><citation key="ref24"><doi>10.1561/0600000020</doi><unstructured_citation>Kornprobst, Pierre &amp; Tumblin, Jack &amp; Durand, Frédo. (2009). Bilateral Filtering: Theory and Applications. Foundations and Trends in Computer Graphics and Vision. 4. 1-74. 10.1561/0600000020. [CrossRef]</unstructured_citation></citation><citation key="ref25"><journal_title>Journal of Physics</journal_title><author>Said</author><cYear>2021</cYear><doi>10.1088/1742-6596/2071/1/012033</doi><article_title>Analysis of Image Processing Using Morphological Erosion and Dilation</article_title><unstructured_citation>Said, K &amp; Jambek, Asral. (2021). Analysis of Image Processing Using Morphological Erosion and Dilation. Journal of Physics: Conference Series. 2071. 012033. 10.1088/1742-6596/2071/1/012033. [CrossRef]</unstructured_citation></citation><citation key="ref26"><unstructured_citation>Thakur, Shilpa. (2015). Analysis of Sobel Edge Detection Technique for Face Recognition.</unstructured_citation></citation><citation key="ref27"><unstructured_citation>Dorothy, R &amp; R M, Joany &amp; Rathish, Joseph &amp; Prabha, S &amp; Rajendran, Susai &amp; Joseph, St. (2015). Image enhancement by Histogram equalization. International Journal of Nano Corrosion Science and Engineering. 2. 21-30.</unstructured_citation></citation><citation key="ref28"><journal_title>Signal &amp; Image Processing</journal_title><author>Patel</author><cYear>2013</cYear><doi>10.5121/sipij.2013.4502</doi><article_title>A Comparative Study of Histogram Equalization Based Image Enhancement Techniques for Brightness Preservation and Contrast Enhancement</article_title><unstructured_citation>Patel, Omprakash &amp; Maravi, Yogendra &amp; Sharma, Sanjeev. (2013). A Comparative Study of Histogram Equalization Based Image Enhancement Techniques for Brightness Preservation and Contrast Enhancement. Signal &amp; Image Processing : An International Journal. 4. 10.5121/sipij.2013.4502. [CrossRef]</unstructured_citation></citation><citation key="ref29"><journal_title>Bulletin of Electrical Engineering and Informatics</journal_title><author>Sekehravani</author><cYear>2020</cYear><doi>10.11591/eei.v9i4.1837</doi><article_title>Implementing canny edge detection algorithm for noisy image</article_title><unstructured_citation>Akbari Sekehravani, Ehsan &amp; Babulak, Eduard &amp; Masoodi, Mehdi. (2020). Implementing canny edge detection algorithm for noisy image. Bulletin of Electrical Engineering and Informatics. 9. 1404-1410. 10.11591/eei.v9i4.1837. [CrossRef]</unstructured_citation></citation><citation key="ref30"><unstructured_citation>Dimitrov, Darko &amp; Holst, Mathias &amp; Knauer, Christian &amp; Kriegel, Klaus. (2008). Experimental Study of Bounding Box Algorithms. GRAPP 2008 - Proceedings of the 3rd International Conference on Computer Graphics Theory and Applications. 15-22.</unstructured_citation></citation><citation key="ref31"><doi>10.1007/978-981-13-2285-3_15</doi><unstructured_citation>Chaturvedi, P., Saxena, M., Sharma, B. (2019). A Bounding Box Approach for Performing Dynamic Optical Character Recognition in MATLAB. In: Rathore, V., Worring, M., Mishra, D., Joshi, A., Maheshwari, S. (eds) Emerging Trends in Expert Applications and Security. Advances in Intelligent Systems and Computing, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-2285-3_15 [CrossRef]</unstructured_citation></citation></citation_list>
</doi_citations>
</body>
</doi_batch>
