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Perspective Distortion Correction Method of Scene Text Based on Vanishing Point


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Perspective Distortion Correction Method of Scene Text Based on Vanishing Point
CHEN De-yun1YIN Fang1WU Rui2
1. School of Computer Science and Technology,Harbin University of Science and Technology,Harbin 150080, China; 2. School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China
scene texts perspective distortion distortion correction vanishing points
TP391. 4
An effective perspective distortion correction method is presented to resolve the perspective distortion correction in text recognition of natural scene. A vanishing point is detected by text baseline obtained from the tip point of text character. A vanishing point position is used to get some deformation parameters of homography matrix,which is utilized to correct the image. The front view image is achieved using a homography matrix. Compared with other methods, this method is less restricted by text layout. Experimental results show this method can effectively correct the text image with a few lines in natural scene and increase recognition rate significantly.


[1] Lienhart R,Wernicke A. Localizing and segmenting text in images and videos[J]. IEEE Transactions on Circuits and Systems for Video Technology,2002,12 ( 4) : 256-268.
[2] Clark P,Mirmehdi M. Rectifying perspective views of text in 3D scenes using vanishing points[J]. Pattern Recognition, 2003, 36: 2673-2686.
[3] Dance C R. Perspective estimation for document images [A]. Proceedings of SPIE [C]. San Jose,United States: SPIE, 2002: 244-254.
[4] Lu Shijian,Chen B M,Ko C C. Perspective rectification of document images using fuzzy set and morphological operations[J]. Image and Vision Computing, 2005, 23: 541-553.
[5] Hartley R,Zisserman A. Multiple view geometry in computer vision[M]. 2nd. Cambridge: Cambridge University Press, 2003: 87-129.
[6] ZhangWangbo,Li Xiaoyuan,Ma Xingjie. Perspective correction method for Chinese document image[A]. IITA 2008 Workshop [C]. Shanghai,China: IEEE Computer Society, 2008: 467-470.
[7] Tong Lijing,Zhang Yan. Correction of perspective text image based on gradient method[A]. ICINA[C]. Kunming, China: IEEE Computer Society, 2010: 312-316.
[8] Liang Jian. Processing camera-captured document images: Geometrics rectification,mosaicing,and layout structure recognition[D]. College Park: Maryland University, 2006.
[9] Fischler M A,Bolles R C. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography[J]. CACM, 1981, 24( 6) : 381-395.
[10] 陈付幸,王润生. 基于预检验的快速随机抽样一致 性算法[J]. 软件学报. 2005, 16( 8) : 1431-1437.
[11] 吴锐,刘家峰,唐降龙,等. 基于Gabor 小波变换的 汉字识别方法[J]. 高技术通讯, 2005, 15( 3) : 7-10.


Last Update: 2012-10-23