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ASME Press Select Proceedings

International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)

Editor
V. E. Muhin
V. E. Muhin
National Technical University of Ukraine
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W. B. Hu
W. B. Hu
Wuhan University
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ISBN:
9780791859742
No. of Pages:
656
Publisher:
ASME Press
Publication date:
2011

To improve the abilities of intelligence and automation in project recognition area, a new visual recognition method is projected. Firstly, normalize the position and scale of object images. Secondly, zoom in/out, rotating the images, then calculate their Zernike moment invariant features and using which as train sets and test sets for BP neural network. Finally, recognize targets .Test shows the projected method is efficient and reliable and robust to target image's rotation, movement and scale change.

Abstract
Keywords
Introduction
Extraction Target Features
Target Recognition Combined BP Neutral Network and Zernike Moment Features
Acknowledgments
References
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