Title :
A new morphological method for cursive word segmentation
Author :
Veloso, Luciana R. ; De Sousa, Robson P. ; de Carvalho, Jose M.
Author_Institution :
DEE, Univ. Federal da Paraiba, Joao Pessoa, Brazil
Abstract :
This work describes a new algorithm for segmentation of handwritten cursive words, based on the following two hypothesis: (1) there exists natural segmentation points (SPs) corresponding to disconnected characters; and (2) the physical SPs between connected characters are located in ligatures. The morphological operations of opening and closing are utilized in the determination of word ligatures. A genetic algorithm was employed in the search for the optimum structuring element to determine the ligature.
Keywords :
genetic algorithms; handwritten character recognition; image segmentation; mathematical morphology; closing; connected characters; cursive word segmentation; disconnected characters; genetic algorithm; handwriting recognition; handwritten cursive words; morphological method; morphological operations; natural segmentation points; opening; optimum structuring element; word ligatures; Character recognition; Handwriting recognition; Histograms; Image segmentation; Morphological operations; Pixel; Printing; Text recognition; White spaces;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899806
