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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>Optical Character Recognition (OCR) based Vehicle's License Plate Recognition System Using Python and OpenCV</text>
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              <text>Computer vision; Image processing; License plate; Optical Character Recognition (OCR); Python programming</text>
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              <text>License Platform Detection is a computer technology that enables us to identify digital images on the platform automatically. Different operations are covered in this system, such as imaging, number pad locations, alphanumeric character truncation and OCR. The final objective of the system is to construct and create efficient image processing procedures and techniques to position a licensing platter on the Open Computer View Library picture. It was used and implemented the K-NN algorithm and python programming language. The technology can be used in different industries such as security, highway speed detection, lighting violations, manuscript documents, automatic charging system, etc. Auto plate recognition is an integrated technology which identifies the auto licence plate. Auto plate auto recognition. Multiple applications include complex safety systems, public spaces, parking and urban traffic control. Automatic Vehicle License Plate Recognition (AVLPR) has undesirable aspects because of many effects, such as light and speed. This work presents an alternative technique to leverage free software for the implementation of AVLPR systems including Python and the Open Computer Vision (openCV).   2021 IEEE.</text>
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              <text>Samantaray M.; Biswal A.K.; Singh D.; Samanta D.; Karuppiah M.; Joseph N.P.</text>
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              <text>Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021, pp. 849-853.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICECA52323.2021.9676015" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICECA52323.2021.9676015&lt;/a&gt;
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              <text>ISBN: 978-166543524-6</text>
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              <text>Samantaray M., Udayanath (Auto) College of Sc. Tech., Dept. of ITM, Odisha, India; Biswal A.K., Siksha 'o' Anusandhan University, Dept.of CSE, Odisha, India; Singh D., Siksha 'o' Anusandhan University, Dept.of CSE, Odisha, India; Samanta D., Siksha 'o' Anusandhan University, Dept. of CA, Odisha, India; Karuppiah M., SRM Institute of Science and Technology, Department of CSE, Ghaziabad, India; Joseph N.P., CHRIST University, Department of Computer Science, Bangalore, India</text>
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