Title :
Detection of curved text path based on the fuzzy curve-tracing (FCT) algorithm
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
fDate :
6/23/1905 12:00:00 AM
Abstract :
Artistic documents often contain text along curved paths. Commonly used computer algorithms for text extraction, which only deal with text along straight lines, cannot be employed to analyze these artistic documents. In this paper, we solve this problem using the fuzzy curve-tracing algorithm. In our method, the character pixels are grouped based on the fuzzy c-means algorithm to reduce the amount of data. Then the cluster centers are connected to form the initial curve representing the text path. Finally the character pixels are clustered again under the constraint that the path must be smooth. Results from several experiments are presented to show the effectiveness of our method
Keywords :
character recognition; feature extraction; fuzzy logic; artistic documents; character pixels; cluster centers; computer algorithms; curved text path detection; fuzzy c-means algorithm; fuzzy curve tracing algorithm; fuzzy curve-tracing algorithm; text extraction; Algorithm design and analysis; Character recognition; Clustering algorithms; Data mining; Graphics; Histograms; Image analysis; Iterative algorithms; Optical character recognition software; Text analysis;
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
DOI :
10.1109/ICDAR.2001.953796
