Pattern recognition using Gaussian-filtered, shifted phase-encoded fringe-adjusted joint transform correlation

Mohammed Nazrul Islam; Mohammad S. Alam; K. Vijayan Asari; Mohammad A. Karim

doi:10.1117/12.776954

17 March 2008 Pattern recognition using Gaussian-filtered, shifted phase-encoded fringe-adjusted joint transform correlation

Mohammed Nazrul Islam, Mohammad S. Alam, K. Vijayan Asari, Mohammad A. Karim

Author Affiliations +

Proceedings Volume 6977, Optical Pattern Recognition XIX; 69770A (2008) https://doi.org/10.1117/12.776954
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Pattern recognition for real-time applications requires the detection scheme be a simple architecture, fast in operation, able to detect all the potential targets without generating any false alarms, and invariant to noise and distortion. Though several target detection algorithms have been proposed in the literature over the years, but most of them are found to be not as efficient in meeting all the above-mentioned objective requirements. A new Gaussian-filtered, shifted phase-encoded fringe-adjusted joint transform correlation technique has been developed in this paper for an optical pattern recognition system. The input noisy image is first filtered by using a Gaussian filter, which helps in overcoming the effect of background noise and distortions. Then the filtered image is correlated with the reference image using the proposed joint transform correlator, which eliminates the problems of duplicate correlation heights, false alarms and low discrimination ratio. The architecture involves optical devices including lenses and spatial light modulators, which guarantees the very fast operation required for real-time applications. Computer simulation results show that the algorithm can successfully discriminate between targets and non-targets contained in the input scene even in the presence of noise and can also make the best utilization of the correlation space.

Citation Download Citation

Mohammed Nazrul Islam, Mohammad S. Alam, K. Vijayan Asari, and Mohammad A. Karim "Pattern recognition using Gaussian-filtered, shifted phase-encoded fringe-adjusted joint transform correlation", Proc. SPIE 6977, Optical Pattern Recognition XIX, 69770A (17 March 2008); https://doi.org/10.1117/12.776954

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

Includes PDF, HTML & Video, when available