Invariant pattern recognition: smart algorithms for segmented two-dimensional patterns with an axis of symmetry

Jianping Yao; Guy J. Lebreton

doi:10.1117/1.602306

1 December 1999 Invariant pattern recognition: smart algorithms for segmented two-dimensional patterns with an axis of symmetry

Jianping Yao, Guy J. Lebreton

Author Affiliations +

Optical Engineering, Vol. 38, Issue 12, (December 1999). https://doi.org/10.1117/1.602306

We propose an approach to realize distortion-invariant pattern recognition for segmented 2-D patterns with an axis of symmetry. Parameters of distorted input pattern are first estimated and normalized. Invariant pattern recognition is then achieved by correlating the normalized input pattern with the undistorted reference, using a classical matched filter or its modified version. This approach realizes pattern recognition invariant to rotation, scale, and projection without the need to synthesize a distortion-invariant filter. Simulation results demonstrate the effectiveness of this approach.

Citation Download Citation

Jianping Yao and Guy J. Lebreton "Invariant pattern recognition: smart algorithms for segmented two-dimensional patterns with an axis of symmetry," Optical Engineering 38(12), (1 December 1999). https://doi.org/10.1117/1.602306

Published: 1 December 1999

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE