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0.4 Experiment results

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Results

When we need to do recognizing. First, we standarize pictures in database and get the mean image. Then we calculate the difference between each image and the mean image. After this, we build covariance matrix from that and get eigen value and vector from the covariance matrix and build an eigen ear space. Then we project every difference vector between training ear and mean ear on to eigen ear space to get the eigen ear.

A dog sitting on a couch.

A dog sitting on a couch.

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Source:  OpenStax, Ear recognition. OpenStax CNX. Dec 18, 2013 Download for free at http://cnx.org/content/col11604/1.3
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