Image analysis – Histogram processing – For setting a threshold
Patent
1992-07-23
1993-12-28
Moore, David K.
Image analysis
Histogram processing
For setting a threshold
395 21, 395 23, 382 16, 382 38, 382 43, G06K 962, G06K 946, G06K 968, G06K 936
Patent
active
052747140
ABSTRACT:
A pattern recognition method and apparatus utilizes a neural network to recognize input images which are sufficiently similar to a database of previously stored images. Images are first processed and subjected to a Fourier transform which yields a power spectrum. An in-class to out-of-class study is performed on a typical collection of images in order to determine the most discriminatory regions of the Fourier transform. A feature vector consisting of the (most discriminatory) information from the power spectrum of the Fourier transform of the image is formed. Feature vectors are input to a neural network having preferably two hidden layers, input dimensionality of the number of elements in the feature vector and output dimensionality of the number of data elements stored in the database. Unique identifier numbers are preferably stored along with the feature vector. Application of a query feature vector to the neural network results in an output vector. The output vector is subjected to statistical analysis to determine if a sufficiently high confidence level exists to indicate a successful identification whereupon a unique identifier number may be displayed.
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Goldstein et al, "Man Machine Interaction In Human Face Identification" Bell System Tech. Journal vol. 51, No. 2, Feb. 1972.
Hunt Bobby R.
Hutcheson Timothy L.
Mohan Subramaniam
Narayanan Venkatesh
Or Wilson
Cammarata Michael
Moore David K.
Neuristics, Inc.
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