Title :
An efficient method for page segmentation
Author :
Li, Xingyuan ; Oh, Weon-Geun ; Ji, Soo-young ; Moon, Kyong-Ae ; Kim, Hyeon-Jin
Author_Institution :
Dept. of Image Process., Syst. Eng. Res. Inst., Taejon, South Korea
Abstract :
Page segmentation is necessary for optical character recognition (OCR) and also very useful for many other document image manipulations. We describe a bottom-up method for page segmentation. Connected components are extracted and clustered into a tree description according to their spatial relations. Then, a new iterative split and merge process is performed to refine the text blocks. We also propose new criterion for clustering the connected components and some new techniques to deal with noise and reduce the computation time. The experiment shows the method´s efficiency
Keywords :
document image processing; feature extraction; image segmentation; iterative methods; optical character recognition; OCR; bottom-up method; computation time reduction; connected components clustering; connected components extraction; document image manipulation; efficient method; experiment; iterative split and merge process; noise; optical character recognition; page segmentation; spatial relations; text blocks; tree description; Character recognition; Computer science; Image analysis; Image processing; Image segmentation; Image storage; Moon; Noise reduction; Optical character recognition software; Systems engineering and theory;
Conference_Titel :
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN :
0-7803-3676-3
DOI :
10.1109/ICICS.1997.652121
