Diversified Licence Plate Character Recognition Using Fuzzy Image Enhancement and LPRNet: An Experimental Approach
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28183-9_11
Reference17 articles.
1. Lin, C.H., Lin, Y.S. and Liu, W.C.: An efficient licence plate recognition system using convolution neural networks. In: 2018 IEEE International Conference on Applied System Invention (ICASI), IEEE (2018)
2. Henry, C., Ahn, S.Y., Lee, S.W.: Multinational licence plate recognition using generalized character sequence detection. IEEE Access 8, 35185–35199 (2020)
3. Chekol, B., Celebi, N., TAŞCI, T.: Segmented character recognition using curvature-based global image feature. Turkish J. Electr. Eng. Comput. Sci. 27(5), 3804–3814 (2019)
4. Joshi, S., Kumar, S.: Image contrast enhancement using fuzzy logic. arXiv preprint arXiv:1809.04529 (2018)
5. Devi, G.S., Rabbani, M.M.A.: Image contrast enhancement using Histogram equalization with Fuzzy Approach on the Neighbourhood Metrics (FANMHE). In: 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), IEEE (2016)
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