Referenced Items are not available for this document.
The authors present a planar shape recognition approach based on the hidden Markov model and autoregressive parameters. This approach segments closed shapes to make classifications at a finer level. The algorithm can tolerate a lot of shape contour perturbation and a moderate amount of occlusion. An orientation scheme is described to make the overall classification insensitive to shape orientation. Excellent recognition results have been reported. A distinct advantage of the approach is that the classifier does not have to be trained again when a new class of shapes is added
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:13
,
Issue:
11
)
Date of Publication: Nov 1991
- Page(s):
- 1172 - 1184
- ISSN :
- 0162-8828
- INSPEC Accession Number:
- 4093257
- Digital Object Identifier :
- 10.1109/34.103276
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Nov 1991
- Sponsored by :
- IEEE Computer Society
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