caa a22 4500 467936897 CHVBK 20180406153000.0 cr unu---uuuuu 170328e20060901xx s 000 0 eng 10.1007/s00138-006-0033-3 doi (NATIONALLICENCE)springer-10.1007/s00138-006-0033-3 A Graph-based Method to Remove Interferential Curve From Text Image [Elektronische Daten] [Zhiguo Cheng, Yuncai Liu] A general algorithm for eliminating interferential curve in text image was proposed, which converted images into basic graph and super graph first, and then the interferential curve was treated as principal curve to be detected. In the detection, improved DFS algorithm, shortest path algorithm and orientation offsetalgorithm were used. Finally, the detected curve was removed from the original image, leaving only text in the image. Experiments conducted with a variety of text images showed that this algorithm is effective in removing interferential curve from text image. Springer-Verlag, 2006 Interferential curve nationallicence Principal curve nationallicence Basic graph nationallicence Super graph nationallicence DFS nationallicence Cheng Zhiguo Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 1954 Hua Shan Road, 20030, Shanghai, China aut Liu Yuncai Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 1954 Hua Shan Road, 20030, Shanghai, China aut Machine Vision and Applications Springer-Verlag 17/4(2006-09-01), 219-228 0932-8092 17:4<219 2006 17 138 https://doi.org/10.1007/s00138-006-0033-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00138-006-0033-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cheng Zhiguo Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 1954 Hua Shan Road, 20030, Shanghai, China aut NATIONALLICENCE 700 1- Liu Yuncai Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 1954 Hua Shan Road, 20030, Shanghai, China aut NATIONALLICENCE 773 0- Machine Vision and Applications Springer-Verlag 17/4(2006-09-01), 219-228 0932-8092 17:4<219 2006 17 138 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer