.: Click here to download :.
Research in automatic writer identification has mainly focused on the statistical approach. This
has led to the specification and extraction of statistical features such as run-length distributions,
slant distribution, entropy, and edge-hinge distribution. The edge-hinge distribution feature
outperforms all other statistical features.
Edge-hinge distribution is a feature that characterizes the changes in direction of a writing
stroke in handwritten text. The edge-hinge distribution is extracted by means of a window that
is slid over an edge-detected binary handwriting image. Whenever the central pixel of the window
is on, the two edge fragments (i.e. connected sequences of pixels) emerging from this central pixel
are considered. Their directions are measured and stored as pairs. A joint probability distribution
is obtained from a large sample of such pairs.
We have improved Laurens van der Maaten's excellent package for writer identification available at
http://www.cs.unimaas.nl/l.vandermaaten/Laurens_van_der_Maaten/Software.html.
We consider a complete 2D probability distribution that takes into
account all possible combinations of angles pairs, outperforming original
code. Code has been tested using IAM Handwriting Database, available at http://www.iam.unibe.ch/~fki/iamDB/.
Index Terms: Matlab, source, code, writer recognition, writer matching, writer verification, online writer identification,
edge-hinge, handwriting, handwritten.
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Figure 1. Handwritten text |
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A simple and effective source code for Writer Recognition. |
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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 |
2007.07.29 |
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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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Writer Recognition System - Release 1.0 - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 95 EUROS (less
than 133 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 Writer 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 14 SP1. 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.
