DocumentCode
3059556
Title
A hypothesis testing approach to word recognition using dynamic feature selection
Author
Li, Liang ; Ho, Tin Kam ; Hull, Jonathan J. ; Srihari, Sargur N.
Author_Institution
Center for Document Anal. & Recognition, State Univ. of New York, NY, USA
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
586
Lastpage
589
Abstract
A top-down approach to word recognition is proposed. Discussions are presented on dynamically selecting the most effective feature combinations, which are applied to discriminate between a limited set of word hypotheses
Keywords
character recognition; dynamic programming; feature extraction; set theory; character recognition; dynamic feature selection; dynamic programming; feature combinations; feature extraction; hypothesis testing; set theory; top-down approach; word recognition; Character recognition; Computer vision; Focusing; Prototypes; Shape; Testing; Text analysis; Tin; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2915-0
Type
conf
DOI
10.1109/ICPR.1992.201846
Filename
201846
Link To Document