Off-line unconstrained handwritten word recognition

Author

Cai, Jinhai ; Liu, Zhi-Qiang

Author_Institution

Dept. of Comput. Sci., Melbourne Univ., Parkville, Vic., Australia

fYear

1996

fDate

18-20 Nov 1996

Firstpage

199

Lastpage

202

Abstract

The authors describe their system for writer independent, off-line unconstrained handwritten word recognition. First, they present a new method to automatically determine the parameters of Gabor filters to extract features from slant and tilt corrected images. An algorithm is also developed to translate 2D images to 1D domain. Finally, they propose a modified dynamic programming method with fuzzy inference to recognize words. Their initial experiments have shown encouraging results

Keywords

dynamic programming; feature extraction; filtering theory; filters; fuzzy logic; image recognition; inference mechanisms; 1D domain; 2D image translation; algorithm; automatic Gabor filter parameter determination; feature extraction; fuzzy inference; modified dynamic programming method; slant corrected images; tilt corrected images; writer independent off-line unconstrained handwritten word recognition; Australia; Computer vision; Data mining; Dynamic programming; Feature extraction; Gabor filters; Handwriting recognition; Image segmentation; Inference algorithms; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Systems, 1996., Australian and New Zealand Conference on

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-3667-4

Type

conf

DOI

10.1109/ANZIIS.1996.573933

Filename

573933