NDLI: Complex nonlinear exponential autoregressive model for shape recognition using neural networks

Content Provider	IEEE Xplore Digital Library
Author	Xiong Shenshu Zhou Zhaoying Zhong Limin Cui Tianhong
Copyright Year	1998
Description	Author affiliation: Dept. of Precision Instrum., Tsinghua Univ., Beijing, China (Xiong Shenshu)
Abstract	A complex nonlinear exponential autoregressive (CNEAR) process which models the boundary coordinate sequence for invariant feature extraction to recognize arbitrary shapes on a plane is presented. All the CNEAR coefficients can be synchronically calculated by using a neural network which is simple in structure and, therefore, easy in implementation. The coefficients are adopted to constitute the feature set which are proven to be invariant to the transformation of a boundary such as translation, rotation, scale and choice of the starting point in tracing the boundary. Afterwards, the feature set is used as the input to a complex multilayer perceptron (C-MLP) network for learning and classification. Experimental results show that complicated shapes can be recognized in high accuracy, even in the low-order model. It is also seen that the classification method has a good degree of fault tolerance when noise is present.
Starting Page	289
Ending Page	292
File Size	350033
Page Count	4
File Format	PDF
ISBN	0780347978
ISSN	10915281
DOI	10.1109/IMTC.1998.679785
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Neural networks Feature extraction Character recognition Speech analysis Instruments Electronic mail Multilayer perceptrons Fault tolerance Multi-stage noise shaping
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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