Analysis and reconstruction of broken handwritten digits

Author

Yu, Donggang ; Yan, Hong

Author_Institution

Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia

Volume

2

fYear

2000

fDate

10-13 Sept. 2000

Firstpage

700

Abstract

An efficient method is developed to reconstruct broken handwritten digits. The extracted structural points and smoothed skeletons are used to describe the structure of a broken handwritten digit. The broken points of the digits are preselected, based on the minimum distance between the "end" points of two neighboring segments. The correction rules of the preselected broken points are designed, based on an analysis of the structure and skeleton of the digits, and digit reconstruction is made based on the found broken points. Experimental results are given to show the effectiveness of the method.

Keywords

feature extraction; handwritten character recognition; image reconstruction; image segmentation; image thinning; broken handwritten digits analysis; broken handwritten digits reconstruction; character recognition; correction rules; extracted structural points; noisy digits; preprocessing algorithms; segmentation errors; smoothed skeletons; thresholding errors; Character recognition; Data mining; Databases; Filling; Handwriting recognition; Image reconstruction; Image segmentation; NIST; Skeleton; Writing;

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.2000.899805

Filename

899805