DocumentCode :
3027818
Title :
Development of techniques for sketched diagram recognition
Author :
Blagojevic, Rachel ; Plimmer, Beryl ; Grundy, John ; Wang, Yong
Author_Institution :
Univ. of Auckland, Auckland
fYear :
2008
fDate :
15-19 Sept. 2008
Firstpage :
258
Lastpage :
259
Abstract :
The focus of this research is to develop general diagram recognition techniques based on quantitative experiments using machine learning to determine the most significant ink features and effective algorithms for use throughout the recognition process. This should improve on existing recognition success rates.
Keywords :
image recognition; learning (artificial intelligence); ink features; machine learning; sketched diagram recognition; Computer interfaces; Engines; Hardware; Ink; Labeling; Libraries; Machine learning; Machine learning algorithms; Problem-solving; Process design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Languages and Human-Centric Computing, 2008. VL/HCC 2008. IEEE Symposium on
Conference_Location :
Herrsching am Ammersee
ISSN :
1943-6092
Print_ISBN :
978-1-4244-2528-0
Electronic_ISBN :
1943-6092
Type :
conf
DOI :
10.1109/VLHCC.2008.4639100
Filename :
4639100
Link To Document :
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