Title :
Text segmentation by automatically designed morphological operators
Author :
Hirata, Nina S T ; Barbera, J. ; Erada, Routot
Author_Institution :
Inst. de Matematica e Estatistica, Sao Paulo Univ., Brazil
Abstract :
Identification of areas corresponding to text in document images is an important step for a character recognition system. We briefly review a technique for automatic design of binary morphological operators and show its application to the segmentation of text areas from document page images. We also present an heuristic filter used to refine the segmentation results. Results obtained for two different sets of images are shown
Keywords :
document image processing; image segmentation; mathematical morphology; optical character recognition; binary morphological operators; character recognition system; document image processing; heuristic filter; image segmentation; mathematical morphology; text segmentation; Character recognition; Graphics; Image recognition; Image segmentation; Kernel; Morphology; Optical character recognition software; Optical filters; Process design; Robustness;
Conference_Titel :
Computer Graphics and Image Processing, 2000. Proceedings XIII Brazilian Symposium on
Conference_Location :
Gramado
Print_ISBN :
0-7695-0878-2
DOI :
10.1109/SIBGRA.2000.883924
