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

Volume

2

fYear

2000

fDate

10-13 Sept. 2000

Firstpage

704

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC, Canada

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899806

Filename

899806