Optics and Precision Engineering, Volume. 26, Issue 5, 1267(2018)
A vehicle logo recognition algorithm based on the improved SIFT feature
[1] [1] YANG B, ZHOU Y.Vehicle-logo twice recognition method based on HOG and ASIFT feature [J].Computer Simulation, 2015, 32(9): 194-198. (in Chinese)
[2] [2] GOU C, WANG K, YAO Y, et al.. Vehicle license plate recognition based on extremal regions and restricted boltzmann machines [J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 17(4): 1-12.
[3] [3] WANG S K, LIU L, XU X, et al.. Vehicle logo recognition based on local feature descriptor [J]. Applied Mechanics & Materials, 2013, 263-266: 2418-2421.
[4] [4] ZHANG Z, WANG C. The research of vehicle plate recognition technical based on BP neural network [J]. Aasri Procedia, 2012, 1(4): 74-81.
[7] [7] PSYLLOS A P, KAYAFAS E. Vehicle logo recognition using a SIFT-based enhanced matching scheme [J].IEEE Transactions on Intelligent Transportation Systems, 2010, 11(2): 322-328.
[10] [10] XU J J.Fast image registration method based onHarris and SIFT algorithm [J].Chinese Optics, 2015, 8 (4): 574-581. (in Chinese)
[13] [13] DAI K, YU H Y, QIU W B, et al.. Unsupervised feature selection algorithm based on support vector machine for network data [J]. Journal of Jilin University (Engineering and Technology Edition), 2015, 45(2): 576-582. (in Chinese)
[14] [14] ZHANG D F, ZHANG J S, YAO K M, et al.. Infrared ship-target recognition based on SVM classification [J]. Infrared and Laser Engineering, 2016, 45(1): 167-172. (in Chinese)
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GENG Qing-tian, ZHAO Hao-yu, WANG Yu-ting, ZHAO Hong-wei. A vehicle logo recognition algorithm based on the improved SIFT feature[J]. Optics and Precision Engineering, 2018, 26(5): 1267
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Received: Dec. 27, 2017
Accepted: --
Published Online: Aug. 14, 2018
The Author Email: Qing-tian GENG (qtgeng@163.com)