Academic Journal of Computing & Information Science, 2019, 2(2); doi: 10.25236/AJCIS.010037.
Chunhui Han, Zhao Chen*
School of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China
* [email protected]
A license plate character segmentation method based on Blob analysis algorithm is proposed to improve the precision of license plate character segmentation. Firstly, the Blob analysis algorithm is combined with the prior knowledge of license plate characters to perform rough segmentation of characters. Secondly, using vertical projection method to achieve the fine segmentation of the characters. Experimental results show that the algorithm can effectively and practicability solve the problem of segmentation and characters cohesion of disconnected Chinese characters.
Image processing; License plate character segmentation; Blob analysis algorithm; Connected domain; Vertical projection method.
Chunhui Han, Zhao Chen. Research on Blob Analysis Algorithm-based Segmentation of Characters in License Plate. Academic Journal of Computing & Information Science (2019), Vol. 2, Issue 2: 39-48. https://doi.org/10.25236/AJCIS.010037.
[1] Geng Qintian and Zhao Hongwei (2013). License plate recognition based on fractal and hidden Markov feature. Optics and Precision Engineering, vol.21, no.12, p.3198-3203.
[2] Guo Runhua, Su Tingting and Ma Xiaowei (2013). License plate recognition system using a BP neural network. Journal of Tsinghua University (Science and Technology) , vol.53, no.9, p.1221-1226.
[3] Shi Longzhao and Wang Kai (2016). Complex license plate character segmentation based on connected component. Computer Engineering and Design, vol.37, no.8, p.2138-2142.
[4] Ran Lingfeng (2012). An Algorithm of Character Segmentation based on Vertical Projection for License Plate. Communication Technology, vol.04, no.45, p.89-91.
[5] Pei Mingtao, Wang Yongjie and Jia Yunde (2014). License plate character segmentation based on multiple scale templates matching and Par-based model. Transactions of Beijing Institute of Technology, vol.34, no.9, p.962-965.
[6] Li Xu, Su Shuchang, You Yucai and Zang Sanyuan (2012). Segmentation method for personalized American car plate based on clustering analysis. Journal of Zhejiang University(Engineering Science), vol.46, no.12, p.2155-2159.
[7] Zheng Chengyong and Li Hong (2010). Vehicle license plate characters segmentation method using character’s entirety and blob analysis. J. Huazhong Univ. of Sci.& Tech. (Natural Science Edition), vol.38, no.3, p.88-91.
[8] Wu Zhipan, Zhao Yuelong, Luo Zhongliang and Du Huaying (2017). License plate recognition technology based on PSO-BP neural network . Acta Scientiarum Naturalium Universitatis Sunyatseni, vol.56, no.1, p.46-51.
[9] Lu Jingyi, Xue Zheng, Shao Keyong and Li Miao (2015). License plate character segmentation based on improved connected component and vertical projection. Techniques of Automation and Applications, vol.34, no.12, p.93-97.
[10] Xu Min, Tang Wanyou, Ma Qianli , et al. (2011) . Research of printing defect on-line detection based on Blob algorithm. Packaging Engineering, vol. 32, no. 9, p.20-23.
[11] Zhang Yuhui, Wu Jiangmei , Sun Ying and Liu Haimeng (2013). Locating of human hand based on Gaussian mixture model and blob analysis. Science Technology and Engineering, vol.13, no.31, p.9371-9374.