An Overview of Image Analysis Algorithms for License Plate Recognition

Aboura, K. (2008). Automatic Thresholding of license plate. International Journal of Automation and Control, 2(2-3), pp. 213-231. DOI: 10.1504/IJAAC.2008.022178.10.1504/IJAAC.2008.022178Search in Google Scholar

Aboura, K. & R. Al-Hmouz, R. (2007). Probabilistic license plate optical character recognition. School of Computing and Communication, University of Technology Sydney. (Technical Report K-OCR-2-07)Search in Google Scholar

Acosta B.D. (2004) Experiments in image segmentation for automatic US license plate recognition. Master’s thesis, Virginia Polytechnic Institute and State University.Search in Google Scholar

Al-Hmouz, R., & Aboura, K. (2014). License plate localization using a statistical analysis of discrete fourier transform signal. Computers and Electrical Engineering, 40(3), pp. 982–992, http://dx.doi.org/10.1016/j.compeleceng.2014.01.00110.1016/j.compeleceng.2014.01.001Search in Google Scholar

Anagnostopoulos, C., Kayafas, E., & Loumos, V. (2000). Digital image processing and neural networks for vehicle license plate identification. Journal of Electrical Engineering, 1(2), pp. 2-7.Search in Google Scholar

Anagnostopoulos, C., Anagnostopoulos, I., Loumos, V., & and Kayafas, E. (2006). A license plate recognition algorithm for intelligent transportation system applications. IEEE Transactions on Intelligent Transportation Systems, 7(3), pp. 377-392, http://dx.doi.org/10.1109/TITS.2006.88064110.1109/TITS.2006.880641Search in Google Scholar

Canny, J. (1986). A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8 (6), pp. 679-698, http://dx.doi.org/10.1109/TPAMI.1986.476785110.1109/TPAMI.1986.4767851Search in Google Scholar

Chang S.L, Chen. LS, Chung Y.C, Chen S.W. (2004). Automatic license plate recognition. IEEE Trans Intell Transport Syst, (1), pp. 42–53, http://dx.doi.org/10.1109/TITS.2004.82508610.1109/TITS.2004.825086Search in Google Scholar

Dlagnekov L. (2004). License plate detection using Ada-Boost. Comput. Sci. Eng. Dept., Univ. California, San Diego, CA; March 2004. Retrieved from http://www.cse.ucsd.edu/classes/fa04/cse252c/projects/louka.pdfSearch in Google Scholar

Duc DT, Hong T.L, Vinh P.T, Viet H.N. (2005). Building an automatic vehicle license plate recognition system. In Proc. Intl. Conf. in Computer Science – RIVF’05 February 21-24, 2005, Can Tho, Vietnam, pp. 59–63.Search in Google Scholar

Eichelberger, C.N., & Najarian, K. (2006). Simulating protein computing: character recognition via probabilistic transition trees. IEEE International Conference on Granular Computing, pp. 101-105, http://dx.doi.org/10.1109/GRC.2006.163576610.1109/GRC.2006.1635766Search in Google Scholar

Horowitz, M. (1957). Efficient use of a picture correlator. Journal of the Optical Society of America, 47(4), pp. 327-327, http://dx.doi.org/10.1364/JOSA.47.00032710.1364/JOSA.47.000327Search in Google Scholar

Lindley, D.V. (1987). The probability approach to the treatment of uncertainty in artificial intelligence and expert systems. Statistical Science, 2(1), pp. 17-24, http://dx.doi.org/10.1214/ss/117701342710.1214/ss/1177013427Search in Google Scholar

Kim KK, Kim KI, Kim JB, Kim HJ. (2000). Learning-based approach for license plate recognition. In: Proc. 2000 IEEE signal processing society workshop, Sydney, Australia, pp. 614–23.10.1109/NNSP.2000.890140Search in Google Scholar

Otsu, N. (1979). A threshold selection method from gray-level histogram. IEEE Transactions on System, Man and Cybernetics, 9(1), pp. 62-66, http://dx.doi.org/10.1109/TSMC.1979.431007610.1109/TSMC.1979.4310076Search in Google Scholar

Pratt, W.K. (1974). Correlation techniques of image registration. IEEE Transactions on Aerospace and Electronic Systems, 10, pp. 353-358, http://dx.doi.org/10.1109/TAES.1974.30782810.1109/TAES.1974.307828Search in Google Scholar

Specht, D.F. (1988). Probabilistic neural networks for classification, mapping or associative memory. IEEE International Conference on Neural Networks, 1, pp. 525-532, http://dx.doi.org/10.1109/ICNN.1988.2388710.1109/ICNN.1988.23887Search in Google Scholar