DocumentCode :
1637273
Title :
Selecting Features in On-Line Handwritten Whiteboard Note Recognition: SFS or SFFS?
Author :
Schenk, Joachim ; Kaiser, Moritz ; Rigoll, Gerhard
Author_Institution :
Inst. for Human-Machine Commun., Tech. Univ. Munchen, Munich, Germany
fYear :
2009
Firstpage :
1251
Lastpage :
1254
Abstract :
When selecting features with the sequential forward floating selection (SFFS), the "nesting effect" is avoided, which is a common phenomenon if the computationally less expensive sequential forward selection (SFS) is used instead. In this paper, we answer the key question, if the more complex and sophisticated SFFS should be used in on-line HMM-based recognition of handwritten whiteboard notes. In addition, an efficient method of displaying the selected feature set, the "feature map," is introduced.In an experimental section, both selection approaches are evaluated, the derived feature sets are compared, and a discussion on the selected features is given.
Keywords :
feature extraction; handwriting recognition; hidden Markov models; image recognition; optimisation; set theory; HMM-based recognition; SFFS; SFS; feature extraction; feature map; hidden Markov model; on-line handwritten whiteboard note recognition; optimisation; sequential forward floating selection; sequential forward selection; set theory; Character recognition; Feature extraction; Gaussian processes; Handwriting recognition; Hidden Markov models; Man machine systems; Pattern recognition; State estimation; Text analysis; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
ISSN :
1520-5363
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2009.130
Filename :
5277665
Link To Document :
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