Frequency-based pattern recognition using neural networks

Simon Wenfeng Lu

doi:10.1117/12.48400

1 October 1991 Frequency-based pattern recognition using neural networks

Simon Wenfeng Lu

Proceedings Volume 1569, Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision; (1991) https://doi.org/10.1117/12.48400
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

A pattern recognition algorithm is proposed, in frequency domain, using a backpropagation neural network. The algorithm extracts distinct frequency features from reference patterns and compares them with the corresponding features of an unknown pattern. The feature sets are learned and recognized through backpropagation neural networks. Multiple neural networks are used to form a classification network. Since the feature set extracted is significantly smaller than the pattern image, the neural network is fast and accurate. Preliminary results indicates that certain features in frequency domain remain consistent for images of the same pattern and it is possible to extract these features for pattern recognition. Experimental results have also indicated that these features can be used to distinguish one pattern from another accurately. The system presented herein exhibits the advantages over previous systems of increasing recognition accuracy, i.e., lower false identification rate, increasing recognition speed, and decreasing data storage space. A method to dynamically identify frequency features in any set of reference patterns and to classify an unknown feature set using neural network is described in detail.

Citation Download Citation

Simon Wenfeng Lu "Frequency-based pattern recognition using neural networks", Proc. SPIE 1569, Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision, (1 October 1991); https://doi.org/10.1117/12.48400

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