DocumentCode :
2810863
Title :
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
Link To Document :
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