Abstract
Image recognition has been widely used in many places in our life. For license plate recognition, it can replace the manual inspection and registration of vehicles in the parking lot to complete automation, and it can also facilitate the management of the place to track the entry and exit of vehicles. In this implementation, we use OpenALPR and Tesseract to realize the basis of image recognition, use Python to connect the real-time image of the camera at the entrance of Tunghai University, and connect the database to compare the license plate and build a webpage to display it, so as to help the school traffic security personnel to be able to It is more convenient to judge whether the current vehicle entering the campus is a qualified vehicle, and to solve the traffic jam at the school gate during peak hours.
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References
Desai, G.G., Bartakke, P.P.: Real-time implementation of Indian license plate recognition system. In: 2018 IEEE Punecon. College of Engineering, Pune (2018)
Handrik, M., Handriková, J., Vaško, M.: Parallel image signal processing in a distributed car plate recognition system. In: 2020 New Trends in Signal Processing (NTSP), University of Žilina (2020)
Prabhu, B.S., Kalambur, S., Sitaram, D.: Recognition of Indian license plate number from live stream videos. In: 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 2359–2365, PES University (2017)
Tjandra, L.O., Nugroho, S., Utomo, D.: Electronic road pricing system prototype. In: 2016 International Seminar on Application for Technology of Information and Communication (ISemantic), pp. 126–129, Satya Wacana Christian University (2016)
Khurat, A., Siriphun, N., Saingthong, J., Sriwiphasathit, J.: An open-source based automatic car detection system using IoT. In: 2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE), pp. 283–288, Mahidol University (2019)
Lin, N.H., Aung, Y.L., Khaing, W.K.: Automatic vehicle license plate recognition system for smart transportation. In: 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS), Yangon Technological University, Singapore University of Technology and Design (2018)
Bui, V., Bui, M.: A truly smart airport parking solution. In: 2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Southern Cross University, Royal Melbourne Institute of Technology (2019)
Hidayatno, A., Nurhediyanto, E., Syafei, W.A.: Implementation of OpenALPR for detecting vehicle license plate in smart toll gate. In: 2021 8th International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE), Diponegoro University (2021)
Mahankali, S., Kabbin, S.V., Nidagundi, S., Srinath, R.: Identification of illegal garbage dumping with video analytics. In: 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bengaluru, India (2018)
Acknowledgement
This research was supported in part by the National Science and Technology Council (NSTC), Taiwan R.O.C. grants numbers 111-2622-E-029-003, 111-2811-E-029-001, 111-2621-M-029-004, and 110-2221-E-029-020-MY3.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chen, HJ., Fathoni, H., Wang, ZY., Lien, KY., Yang, CT. (2023). A Real-Time Streaming Application for License Plate Recognition Using OpenALPR. In: Deng, DJ., Chao, HC., Chen, JC. (eds) Smart Grid and Internet of Things. SGIoT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 497. Springer, Cham. https://doi.org/10.1007/978-3-031-31275-5_33
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DOI: https://doi.org/10.1007/978-3-031-31275-5_33
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