Chinese character recognition for LPR application |
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| Authors: | Huoliang Chen Bo Hu Xing Yang Min Yu Jie Chen |
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| Institution: | 1. Department of Health Services, School of Military Preventive Medicine, Fourth Military Medical University, Xian 710032, China;2. Nanjing Artillery Academy, Nanjing 211132, China;3. State Key Laboratory of Pulsed Power Laser Technology, Key Laboratory of Infrared and Low Temperature Plasma of Anhui Province, Hefei 230037, China;4. Institute of Health Service and Intelligence, Academy of Military Medical Science, Beijing 100850, China;5. Department of Electronics and Information Engineering, Anhui Jianzhu University, Hefei 230601, China |
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| Abstract: | Letter and number recognition in license plates is widely considered a solved problem in many practical license plate recognition (LPR) systems. However, Chinese character recognition for LPR application still faces many challenges, such as more complex structure, defective character, partial occlusion, and sensitiveness to affine distortion, noise, scaling, illumination variation, contamination, blurring, and so no. In this paper, a novel method of Chinese character recognition is proposed, based on SIFT feature points clustering and matching in which a center matching strategy is designed to improve recognition efficiency. Promising experimental results demonstrate that the proposed is robust to the previous adverse factors in natural scenes and acquires higher efficiency that may meet requirements in practical application. |
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| Keywords: | Chinese character recognition SIFT feature LPR |
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