Title :
Stochastic curve extraction model for chart auto-recognition
Author :
Wang, Kai ; Shi, Guang-Shun ; Wang, Qing-Ren
Author_Institution :
Inst. of Machine Intelligence, Nankai Univ., Tianjin, China
Abstract :
Charts are widely applied to engineering, design, analysis, forecast, medicine and other fields. Chart auto-recognition can reduce manual work greatly. Being different from previous works, which only can process fixed characteristic symbols, a model based on foreground/background separation, which can process stochastic curve, is presented in this paper.
Keywords :
image recognition; pattern recognition; stochastic processes; chart autorecognition; fixed characteristic symbols; stochastic curve extraction; Application software; Data mining; Design engineering; Machine intelligence; Mathematical model; Mathematics; Object detection; Pattern recognition; Spine; Stochastic processes;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380421
