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Biometrics is being more and more widely used in
recently year owing to the irreproducible characteristics
of the human body. As one kind of biometrics, the ear
has its own characters: the structure of the ear is
rich and stable, and does not change radically over time;
the ear is less variability with expressions, and has a
more uniform distribution of color than faces. These
unique characters of the ear make it possible to make
up the drawbacks of other biometrics and to enrich the
biometrics identification technology.
At present ear recognition technology has been
developed from the initial feasible research to the stage
of how to enhance ear recognition performance further,
for instance, 3D ear recognition, ear recognition
with occlusion, and multi-pose ear recognition.
We have developed a simple and fast algorithm for ear recognition based on Principal Component Analysis
that is capable to recognize ears with a low error rate. Moreover code is capable to perform 1:1 verification
using an approach based on Coherent Point Drift (CPD) with a high degree of accuracy. The code for CPD has been
developed by Andriy Myronenko and it is available at http://www.bme.ogi.edu/~myron/matlab/cpd/. CPD
is an excellent Matlab toolbox for rigid, affine and non-rigid point set registration and matching and allows to align
two N-D point sets and recover the correspondences.
The proposed algorithm has been tested on USTB Ear Image Databases,
using Dataset #1, that includes 185 ear images of 60 persons.
Index Terms: Matlab, source, code, ear, recognition, identification, matching, CPD, coherent, point, drift, PCA.
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Figure 1. Ear |
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A simple and effective source code for Ear Recognition System. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox is required.
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Release |
Date |
Major features |
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1.0 |
2009.07.15 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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Ear Recognition System. Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 32 EUROS (less
than 44 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of Ear Recognition System. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab 2006a. Matlab Image Processing Toolbox is required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
be caused by the use of the code itself including all parts of
the source code.
