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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.

 

 

 

 

 

Figure 1. Handwritten text



A simple and effective source code for Writer Recognition.

Demo code (protected P-files) available for performance evaluation. Matlab Image Processing Toolbox is required.

Release
Date
Major features
2.0

2013.10.25

  • Minor bug fixes
1.0

2007.07.29



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This donation has to be considered an encouragement to improve the code itself.

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: 20 EUROS (less than 28 U.S. Dollars).

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:
Name :
Luigi Rosa
Address :
Via Pozzo Strada 5 10139 Torino Italy
Bank name:
Poste Italiane
Bank address:
Viale Europa 190 00144 Roma Italy
IBAN (International Bank Account Number) :
IT-50-V-07601-03600-000058177916
BIC (Bank Identifier Code) :
BPPIITRRXXX

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.

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