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Artykuły w czasopismach na temat "NUMBER PLATE RECOGNITION SYSTEM"
Koppisetti, Harshit Surya. "Number Plate Recognition System using MATLAB". International Journal for Research in Applied Science and Engineering Technology 9, nr VI (30.06.2021): 4851–54. http://dx.doi.org/10.22214/ijraset.2021.35983.
Pełny tekst źródłaKhaparde, Devesh, Heet Detroja, Jainam Shah, Rushikesh Dikey i Bhushan Thakare. "Automatic Number Plate Recognition System". International Journal of Computer Applications 179, nr 49 (15.06.2018): 26–29. http://dx.doi.org/10.5120/ijca2018917277.
Pełny tekst źródłaDavy, Manyika Kabuswa, Peter Jairous Banda i Agripa Hamweendo. "Automatic vehicle number plate recognition system". Physics & Astronomy International Journal 7, nr 1 (28.03.2023): 69–72. http://dx.doi.org/10.15406/paij.2023.07.00286.
Pełny tekst źródłaR, Lalitha. "Vehicle Number Plate Recognition System to Identify the Authenticated Owner of Vehicles". International Journal of Psychosocial Rehabilitation 24, nr 5 (25.05.2020): 7102–7. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020719.
Pełny tekst źródłaYaba, Hawar Hussein, i Hemin Omer Latif. "Plate Number Recognition based on Hybrid Techniques". UHD Journal of Science and Technology 6, nr 2 (1.09.2022): 39–48. http://dx.doi.org/10.21928/uhdjst.v6n2y2022.pp39-48.
Pełny tekst źródłaKhaparde, Devesh, Heet Detroja, Jainam Shah, Rushikesh Dikey i Bhushan Thakare. "Survey on Automatic Number Plate Recognition System". International Journal of Computer Applications 180, nr 15 (24.01.2018): 28–32. http://dx.doi.org/10.5120/ijca2018916193.
Pełny tekst źródłaEvans-Pughe, C. "Road watch [automatic number plate recognition system]". Engineering & Technology 1, nr 4 (1.07.2006): 36–39. http://dx.doi.org/10.1049/et:20060402.
Pełny tekst źródłaHajare, Gayatri, Utkarsh Kharche, Pritam Mahajan i Apurva Shinde. "Automatic Number Plate Recognition System for Indian Number Plates using Machine Learning Techniques". ITM Web of Conferences 44 (2022): 03044. http://dx.doi.org/10.1051/itmconf/20224403044.
Pełny tekst źródłaVardhan, Gotham Rishi, Kola Sunil Goud, Krovvidi Aditya Hrudai i S. Ramani. "RECOGNITION OF VEHICLE NUMBER PLATE USING MATLAB". International Journal of Computer Science and Mobile Computing 11, nr 1 (30.01.2022): 108–15. http://dx.doi.org/10.47760/ijcsmc.2022.v11i01.013.
Pełny tekst źródłaKale, Tushar. "Helmet Detection and Number Plate Recognition". International Journal for Research in Applied Science and Engineering Technology 11, nr 5 (31.05.2023): 4036–40. http://dx.doi.org/10.22214/ijraset.2023.52559.
Pełny tekst źródłaRozprawy doktorskie na temat "NUMBER PLATE RECOGNITION SYSTEM"
Zhai, Xiaojun. "Automatic number plate recognition on FPGA". Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/14231.
Pełny tekst źródłaAkinola, Paul. "Design and Implementation of an IoT Solution for Vehicle Access Control in Residential Environment". Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97047.
Pełny tekst źródłaRobinson, Alan. "Validating traffic models using large-scale automatic number plate recognition (ANPR) data". Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/66238.
Pełny tekst źródłaDissertation (MEng)--University of Pretoria, 2017.
Civil Engineering
MEng
Unrestricted
Haines, Alina. "The role of automatic number plate recognition surveillance within policing and public reassurance". Thesis, University of Huddersfield, 2009. http://eprints.hud.ac.uk/id/eprint/8760/.
Pełny tekst źródłaJohnson, Abioseh Saeley. "Automatic number-plate recognition : an application of computer vision technology to automatic vehicle identification". Thesis, University of Bristol, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300053.
Pełny tekst źródłaGunaydin, Ali Gokay. "A Constraint Based Real-time License Plate Recognition System". Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608195/index.pdf.
Pełny tekst źródłaSetchell, Christopher John. "Applications of computer vision to road-traffic monitoring". Thesis, University of Bristol, 1998. http://hdl.handle.net/1983/a79e87e2-8020-45ce-be27-dd9e382d18c7.
Pełny tekst źródłaLiaqat, Ahmad Gull. "Mobile Real-Time License Plate Recognition". Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-15944.
Pełny tekst źródłaJAIN, URVASHI B. "AUTOMATED NUMBER PLATE RECOGNITION SYSTEM". Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14455.
Pełny tekst źródłaFang, Jiung-Bin, i 方俊斌. "A Study of Car-Plate Number Recognition System". Thesis, 1999. http://ndltd.ncl.edu.tw/handle/74488032540833718528.
Pełny tekst źródła國立成功大學
工程科學系
87
Number plate recognition system requires a series of complex image processing steps. In this thesis, a number plate recognition system had been developed. The system includes three phases called pre-processing , ROI(Region of Interest) selection, and character segmentation & recognition. In the first phase, the gray value contrast of the input image is adjusted properly. In the second phase, the area probably contains the number plate is selected by using line based scanning method. In order to avoid the false selection causing by decoration, one to three Region of Interest areas are held. And the scanning is made from left to right, bottom to top. To decide the ROI area, the property of interleaving of black and white pattern for a number plate is used. In the third phase, the characters of the number plate are firstly segmented out by using the line scanning method. The scanning is made from top to bottom of the ROI and accumulated the number of black pixels for the scanned line. The accumulated number is used to evaluate if the line belongs the member of a character. After the segmentation, the character image is binarized and normalized with size 20*10 pixels. Finally, back propagation neural network is used to recognize the segmented characters. 187 data samples are randomly separately into 93 samples for training and 94 samples for testing. Then extra 101 images are used to evaluate the system. The successful rate is about 98%, and the average processing time is 0.7sec for each plate’s recognition.
Książki na temat "NUMBER PLATE RECOGNITION SYSTEM"
Henderson, Charlie. Driving Crime Down,Denying Criminals the Use of the Road, [Automatic Number Plate Recognition (Anpr)]. Stationery Office, The, 2004.
Znajdź pełny tekst źródłaReader, Jocelyn, Sarah Lynam, Amy Harper, Gautam Rao, Maya Matheny i Dana M. Roque. Ovarian Tumor Microenvironment and Innate Immune Recognition. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190248208.003.0004.
Pełny tekst źródłaRicketson, Sam. The Emergence and Development of the International Intellectual Property System. Redaktorzy Rochelle Dreyfuss i Justine Pila. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198758457.013.14.
Pełny tekst źródłaDonald R, Rothwell, Elferink Alex G Oude, Scott Karen N i Stephens Tim, red. The Oxford Handbook of the Law of the Sea. Oxford University Press, 2015. http://dx.doi.org/10.1093/law/9780198715481.001.0001.
Pełny tekst źródłaLivermore, Roy. The Tectonic Plates are Moving! Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198717867.001.0001.
Pełny tekst źródłaWright, A. G. Secondary emission and gain. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.003.0005.
Pełny tekst źródłaVoll, Reinhard E., i Barbara M. Bröker. Innate vs acquired immunity. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0048.
Pełny tekst źródłaCukierman, Alex. Central Banks. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228637.013.64.
Pełny tekst źródłaKulak, Dariusz. Wieloaspektowa metoda oceny stanu gleb leśnych po przeprowadzeniu procesów pozyskania drewna. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-28-1.
Pełny tekst źródłaCzęści książek na temat "NUMBER PLATE RECOGNITION SYSTEM"
Obagbuwa, Ibidun Christiana, Vincent Mohale Zibi i Mishi Makade. "Vehicle Number Plate Recognition System". W Computational Intelligence in Pattern Recognition, 36–42. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3089-8_4.
Pełny tekst źródłaChavan, Satishkumar S., i Satishkumar L. Varma. "Vehicle Number Plate Recognition for Toll System". W Advances in Intelligent Systems and Computing, 178–86. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4851-2_19.
Pełny tekst źródłaAl Awaimri, Mohammed, Sallam Fageeri, Aiman Moyaid, Christopher Thron i Abdullah ALhasanat. "Automatic Number Plate Recognition System for Oman". W Artificial Intelligence for Data Science in Theory and Practice, 155–78. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92245-0_8.
Pełny tekst źródłaAnekar, Shreya, Samrudhi Yeginwar i Harsha Sonune. "Automated Gate System Using Number Plate Recognition (NPR)". W ICT Systems and Sustainability, 413–20. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5987-4_42.
Pełny tekst źródłaMeena, Seema, i Bipul Kumar. "Number Plate Recognition: Concept and Its Applications". W Algorithms for Intelligent Systems, 667–72. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6707-0_65.
Pełny tekst źródłaMahamad, Abd Kadir, Sharifah Saon i Sarah Nurul Oyun Abdul Aziz. "A Simplified Malaysian Vehicle Plate Number Recognition". W Advances in Intelligent Systems and Computing, 379–88. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07692-8_36.
Pełny tekst źródłaVaishnav, Arun, i Manju Mandot. "Template Matching for Automatic Number Plate Recognition System with Optical Character Recognition". W Information and Communication Technology for Sustainable Development, 683–94. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7166-0_69.
Pełny tekst źródłaAmzad Hossain, Md, Istiaque Ahmed Suvo, Amitabh Ray, Md Ariful Islam Malik i M. F. Mridha. "Number Plate Recognition System for Vehicles Using Machine Learning Approach". W Advances in Intelligent Systems and Computing, 799–814. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5148-2_69.
Pełny tekst źródłaSuneetha, K., i K. Mounika Raj. "Automatic Vehicle Number Plate Recognition System (AVNPR) Using OpenCV Python". W Lecture Notes in Networks and Systems, 487–96. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1941-0_49.
Pełny tekst źródłaAlias, Mohd Fauzi, Fahmi Fitri Abdul Rahim, Mohamad Rosyidi Ahmad, Mohamed Yusof Radzak, Mohd Suyerdi Omar i Muhamad Husaini Abu Bakar. "Development of a Malaysian Plate Number Recognition System for Parking Violation". W IT Applications for Sustainable Living, 43–57. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40751-2_6.
Pełny tekst źródłaStreszczenia konferencji na temat "NUMBER PLATE RECOGNITION SYSTEM"
Fajas, F., Farhan Yousuf, P. R. Remya, Adarsh P. Pavanan, Sajan Ambadiyil i Varsha Swaminathan. "Automatic Number Plate Recognition for indian standard number plates". W 2012 IV International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT 2012). IEEE, 2012. http://dx.doi.org/10.1109/icumt.2012.6459645.
Pełny tekst źródłaSasi, Anumol, Swapnil Sharma i Alice N. Cheeran. "Automatic car number plate recognition". W 2017 4th International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). IEEE, 2017. http://dx.doi.org/10.1109/iciiecs.2017.8275893.
Pełny tekst źródłaDeng, Lunman, i Jeong-Young Song. "A Number Plate Recognition System for Abnormal Data". W 2008 Second International Conference on Future Generation Communication and Networking (FGCN). IEEE, 2008. http://dx.doi.org/10.1109/fgcn.2008.134.
Pełny tekst źródłaPatil, Prashanth, C. Kanagasabapathi i Siva S. Yellampalli. "Automatic number plate recognition system for vehicle identification". W 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT). IEEE, 2017. http://dx.doi.org/10.1109/iceeccot.2017.8284543.
Pełny tekst źródłaRajathilagam, R., K. Sivamani, R. Seetharaman i D. Nedumaran. "Neural Network based Vehicle Number Plate Recognition System". W 2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC). IEEE, 2019. http://dx.doi.org/10.1109/icpedc47771.2019.9036497.
Pełny tekst źródłaArora, Preeti, Vinod M. Kapse, Sapna Sinha i Saksham Gera. "Number Plate Recognition System Using Convolutional Neural Network". W 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2021. http://dx.doi.org/10.1109/icrito51393.2021.9596134.
Pełny tekst źródłaRawat, Anurag Singh, Himanshu Devrani, Aman Yaduvanshi, Manvi Bohra, Indrajeet Kumar i Teekam Singh. "Surveillance System using Moving Vehicle Number Plate Recognition". W 2023 2nd International Conference on Edge Computing and Applications (ICECAA). IEEE, 2023. http://dx.doi.org/10.1109/icecaa58104.2023.10212426.
Pełny tekst źródłaYousef, Khalil M. Ahmad, Maha Al-Tabanjah, Esraa Hudaib i Maymona Ikrai. "SIFT based automatic number plate recognition". W 2015 6th International Conference on Information and Communication Systems (ICICS). IEEE, 2015. http://dx.doi.org/10.1109/iacs.2015.7103214.
Pełny tekst źródłaZhai, Xiaojun, Faycal Bensaali i Klaus McDonald-Maier. "Automatic Number Plate Recognition on FPGA". W 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS). IEEE, 2013. http://dx.doi.org/10.1109/icecs.2013.6815420.
Pełny tekst źródłaGupta, Smita, Anshu Choudhary, Sudhir Bussa, Girish Lakhera, Harshita Tuli i K. Divya Vani. "An Automated Number Plate Recognition System based on Optical Character Recognition". W 2022 5th International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2022. http://dx.doi.org/10.1109/ic3i56241.2022.10073424.
Pełny tekst źródłaRaporty organizacyjne na temat "NUMBER PLATE RECOGNITION SYSTEM"
Thomas, Michael J. Combining Facial Recognition, Automatic License Plate Readers and Closed Circuit Television to Create an Interstate Identification System for Wanted Subjects. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2015. http://dx.doi.org/10.21236/ad1009302.
Pełny tekst źródłaHouck, Marilyn, Uri Gerson i Robert Luck. Two Predator Model Systems for the Biological Control of Diaspidid Scale Insects. United States Department of Agriculture, czerwiec 1994. http://dx.doi.org/10.32747/1994.7570554.bard.
Pełny tekst źródłaRobinson, Andy. Monitoring and Evaluation for Rural Sanitation and Hygiene: Framework. Institute of Development Studies (IDS), grudzień 2021. http://dx.doi.org/10.19088/slh.2021.027.
Pełny tekst źródłaRobinson, Andy. Monitoring and Evaluation for Rural Sanitation and Hygiene: Framework. Institute of Development Studies (IDS), grudzień 2021. http://dx.doi.org/10.19088/slh.2021.025.
Pełny tekst źródłaPerera, Duminda, Ousmane Seidou, Jetal Agnihotri, Mohamed Rasmy, Vladimir Smakhtin, Paulin Coulibaly i Hamid Mehmood. Flood Early Warning Systems: A Review Of Benefits, Challenges And Prospects. United Nations University Institute for Water, Environment and Health, sierpień 2019. http://dx.doi.org/10.53328/mjfq3791.
Pełny tekst źródłaCoplin, David, Isaac Barash i Shulamit Manulis. Role of Proteins Secreted by the Hrp-Pathways of Erwinia stewartii and E. herbicola pv. gypsophilae in Eliciting Water-Soaking Symptoms and Initiating Galls. United States Department of Agriculture, czerwiec 2001. http://dx.doi.org/10.32747/2001.7580675.bard.
Pełny tekst źródłaGlobal Food 50/50: Hungry for gender equality. Global Health 50/50, październik 2022. http://dx.doi.org/10.56649/wiqe2012.
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