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A Framework in C# for Fingerprint Verification

2 Jan 2019CPOL11 min read 1.6M   143.5K   672  
In this article, we introduce a framework in C# for fingerprint verification, we briefly explain how to perform fingerprint verification experiments and how to integrate your algorithms to the framework.
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<p>Allows testing a fingerprint matching algorithm in database DB1_A of competition FVC2004.  
 <a href="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a.html#details">More...</a></p>
<div class="dynheader">
Inheritance diagram for PatternRecognition.FingerprintRecognition.Experiments.FVC2002_DB1A:</div>
<div class="dyncontent">
 <div class="center">
  <img src="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a.png" usemap="#PatternRecognition.FingerprintRecognition.Experiments.FVC2002_DB1A_map" alt=""/>
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<area href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_f_v_c_matching_experiment.html" title="Used to evaluate matching algorithms based on the protocol of the Fingerprint Verification Competitio..." alt="PatternRecognition.FingerprintRecognition.Core.IFVCMatchingExperiment" shape="rect" coords="0,56,429,80"/>
<area href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_experiment.html" title="The common interface for any experiment." alt="PatternRecognition.FingerprintRecognition.Core.IExperiment" shape="rect" coords="0,0,429,24"/>
</map>
 </div></div>

<p><a href="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a-members.html">List of all members.</a></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2><a name="nested-classes"></a>
Classes</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><b>SimilarityValuesComparer</b></td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:afe591f87d006e872eaeece78a13d3b41"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a.html#afe591f87d006e872eaeece78a13d3b41">Execute</a> ()</td></tr>
<tr class="memdesc:afe591f87d006e872eaeece78a13d3b41"><td class="mdescLeft">&#160;</td><td class="mdescRight">Executes the experiment.  <a href="#afe591f87d006e872eaeece78a13d3b41"></a><br/></td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2><a name="properties"></a>
Properties</h2></td></tr>
<tr class="memitem:a8745e7887eda9b44d57a7b3f5035d20f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_matcher.html">IMatcher</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a.html#a8745e7887eda9b44d57a7b3f5035d20f">Matcher</a><code> [get, set]</code></td></tr>
<tr class="memdesc:a8745e7887eda9b44d57a7b3f5035d20f"><td class="mdescLeft">&#160;</td><td class="mdescRight">The matcher to be evaluated.  <a href="#a8745e7887eda9b44d57a7b3f5035d20f"></a><br/></td></tr>
<tr class="memitem:a346bbdc6fd6925c2530ed32bf78cb98a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_resource_provider.html">IResourceProvider</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a.html#a346bbdc6fd6925c2530ed32bf78cb98a">ResourceProvider</a><code> [get, set]</code></td></tr>
<tr class="memdesc:a346bbdc6fd6925c2530ed32bf78cb98a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Used to provide the features used by the specified matcher.  <a href="#a346bbdc6fd6925c2530ed32bf78cb98a"></a><br/></td></tr>
<tr class="memitem:af0e665e6b3635dd93038142b2e51dedc"><td class="memItemLeft" align="right" valign="top">string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a.html#af0e665e6b3635dd93038142b2e51dedc">ResourcePath</a><code> [get, set]</code></td></tr>
<tr class="memdesc:af0e665e6b3635dd93038142b2e51dedc"><td class="mdescLeft">&#160;</td><td class="mdescRight">The path where the resources are stored.  <a href="#af0e665e6b3635dd93038142b2e51dedc"></a><br/></td></tr>
<tr class="inherit_header properties_interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_f_v_c_matching_experiment"><td colspan="2" onclick="javascript:toggleInherit('properties_interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_f_v_c_matching_experiment')"><img src="closed.png" alt="-"/>&nbsp;Properties inherited from <a class="el" href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_f_v_c_matching_experiment.html">PatternRecognition.FingerprintRecognition.Core.IFVCMatchingExperiment</a></td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2><a name="events"></a>
Events</h2></td></tr>
<tr class="memitem:a2e14421522110cf85b48e701c620136c"><td class="memItemLeft" align="right" valign="top">ProgressChangedEventHandler&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a.html#a2e14421522110cf85b48e701c620136c">StatusEvent</a> = null</td></tr>
<tr class="memdesc:a2e14421522110cf85b48e701c620136c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Event that provides information about the experiment status.  <a href="#a2e14421522110cf85b48e701c620136c"></a><br/></td></tr>
</table>
<hr/><a name="details" id="details"></a><h2>Detailed Description</h2>
<div class="textblock"><p>Allows testing a fingerprint matching algorithm in database DB1_A of competition FVC2004. </p>
<p>This experiment uses the evaluation protocol of the Fingerprint Verification Competitions [1]. The performance indicators computed in this experiments are: EER(%), FMR100(%), FMR1000(%), ZeroFMR(%), Time(ms) and <a class="el" href="namespace_pattern_recognition_1_1_r_o_c.html">ROC</a> curves. This indicators are saved in a file which name is formed by the name of the matching algorithm concatenated with ".Summary.csv". This file is saved in a folder by the name of "Results" in the same folder where the fingerprints are stored. Two more files are saved, one file containing the false fingerprint matches and the other containing the false not matches. </p>
<p>In order to execute the experiment, you must set the properties <a class="el" href="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a.html#a8745e7887eda9b44d57a7b3f5035d20f" title="The matcher to be evaluated.">Matcher</a>, <a class="el" href="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a.html#a346bbdc6fd6925c2530ed32bf78cb98a" title="Used to provide the features used by the specified matcher.">ResourceProvider</a> and <a class="el" href="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a.html#af0e665e6b3635dd93038142b2e51dedc" title="The path where the resources are stored.">ResourcePath</a>. Optionally, you can set the property <a class="el" href="class_pattern_recognition_1_1_fingerprint_recognition_1_1_experiments_1_1_f_v_c2002___d_b1_a.html#a2e14421522110cf85b48e701c620136c" title="Event that provides information about the experiment status.">StatusEvent</a> in order to get updates concerning the status of the experiment. </p>
<p>References: </p>
<ol>
<li>
R. Cappelli, D. Maio, D. Maltoni, J. L. Wayman, and A. K. Jain, "Performance evaluation of fingerprint verification systems," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 3-18, 2006.  </li>
</ol>
</div><hr/><h2>Member Function Documentation</h2>
<a class="anchor" id="afe591f87d006e872eaeece78a13d3b41"></a>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void PatternRecognition.FingerprintRecognition.Experiments.FVC2002_DB1A.Execute </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Executes the experiment. </p>
<p>*exception cref="InvalidOperationException"&gt;Thrown when the resource path is invalid, the matcher is not assigned or the resource provider is not assigned.</p>

<p>Implements <a class="el" href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_experiment.html#adbdb6c8cce7af7af3ed96218f5fa4fc3">PatternRecognition.FingerprintRecognition.Core.IExperiment</a>.</p>

</div>
</div>
<hr/><h2>Property Documentation</h2>
<a class="anchor" id="a8745e7887eda9b44d57a7b3f5035d20f"></a>
<div class="memitem">
<div class="memproto">
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_matcher.html">IMatcher</a> PatternRecognition.FingerprintRecognition.Experiments.FVC2002_DB1A.Matcher</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">get</span><span class="mlabel">set</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p>The matcher to be evaluated. </p>

<p>Implements <a class="el" href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_f_v_c_matching_experiment.html#afada5e46772954f642b2f2503afac369">PatternRecognition.FingerprintRecognition.Core.IFVCMatchingExperiment</a>.</p>

</div>
</div>
<a class="anchor" id="af0e665e6b3635dd93038142b2e51dedc"></a>
<div class="memitem">
<div class="memproto">
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">string PatternRecognition.FingerprintRecognition.Experiments.FVC2002_DB1A.ResourcePath</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">get</span><span class="mlabel">set</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p>The path where the resources are stored. </p>

<p>Implements <a class="el" href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_f_v_c_matching_experiment.html#a4365dea11e4f6a986470de994116b1e5">PatternRecognition.FingerprintRecognition.Core.IFVCMatchingExperiment</a>.</p>

</div>
</div>
<a class="anchor" id="a346bbdc6fd6925c2530ed32bf78cb98a"></a>
<div class="memitem">
<div class="memproto">
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname"><a class="el" href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_resource_provider.html">IResourceProvider</a> PatternRecognition.FingerprintRecognition.Experiments.FVC2002_DB1A.ResourceProvider</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">get</span><span class="mlabel">set</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p>Used to provide the features used by the specified matcher. </p>

<p>Implements <a class="el" href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_f_v_c_matching_experiment.html#ab15e93c616c030020912dc2888cadc8b">PatternRecognition.FingerprintRecognition.Core.IFVCMatchingExperiment</a>.</p>

</div>
</div>
<hr/><h2>Event Documentation</h2>
<a class="anchor" id="a2e14421522110cf85b48e701c620136c"></a>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">ProgressChangedEventHandler PatternRecognition.FingerprintRecognition.Experiments.FVC2002_DB1A.StatusEvent = null</td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Event that provides information about the experiment status. </p>

<p>Implements <a class="el" href="interface_pattern_recognition_1_1_fingerprint_recognition_1_1_core_1_1_i_experiment.html#aa4b91cb836713490d628afdc29ceeaad">PatternRecognition.FingerprintRecognition.Core.IExperiment</a>.</p>

</div>
</div>
<hr/>The documentation for this class was generated from the following file:<ul>
<li>D:/Migue/Code/FingerprintRecognition/CodeProject/[2012-05-16] FingerprintRecognition/FingerprintRecognition/FR.FVCExperiments/FVC2002_DB1A.cs</li>
</ul>
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Written By
Tecnológico de Monterrey
Mexico Mexico
I received my B.S. and M.S. degrees from the University of Ciego de Ávila, Cuba, in 2007 and I received my PhD. degree in 2014 from the National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico.

I have developed software to solve pattern recognition problems. A successful example is the algorithm DMC which is the most accurate (according to EER) among those which compare both fingerprints and palmprints in the international competition FVC-onGoing.

I have been involved in several research projects about pattern recognition and I have published tens of papers in referenced journals such as "Pattern Recognition," "Knowledge-Based Systems," "Information Sciences", and "IEEE Transactions on Information Forensics and Security."

Written By
Cuba Cuba
Milton García-Borroto is graduated from Las Villas Central University, Cuba, in 2000. He received the M.S. degree in 2007 from the National Institute of Astrophisics, Optics and Electronics, Mexico, where he continues his studies toward a Ph.D. degree. His research interests are pattern recognition and biometry.

Relevant papers:
1. M. García-Borroto, J. F. Martinez Trinidad, J. A. Carrasco Ochoa, M. A. Medina-Pérez, and J. Ruiz-Shulcloper. LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification. Pattern Recognition vol. 43, pp. 3025-3034, 2010.
2. M. García-Borroto, J. F. Martinez Trinidad, J. A. Carrasco Ochoa. A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification. M.J. Zaki et al. (Eds.): PAKDD 2010, Part I, Lecture Notes in Artificial Intelligence, vol. 6118, pp. 150–157, 2010.
3. M. A. Medina-Pérez, A. Gutiérrez-Rodríguez, and M. García-Borroto, "Improving Fingerprint Matching Using an Orientation-Based Minutia Descriptor," Lecture Notes in Computer Science, vol. 5856, pp. 121-128, 2009.
4. M. García-Borroto, Y. Villuendas-Rey, J. A. Carrasco-Ochoa, and J. F. Martínez-Trinidad, "Finding Small Consistent Subset for the Nearest Neighbor Classifier Based on Support Graphs," Lecture Notes in Computer Science, vol. 5856, pp. 465-472, 2009.
5. M. García-Borroto, Y. Villuendas-Rey, J. A. Carrasco-Ochoa, and J. F. Martínez-Trinidad, "Using Maximum Similarity Graphs to Edit Nearest Neighbor Classifiers," Lecture Notes in Computer Science, vol. 5856, pp. 489-496, 2009.
6. M. A. Medina-Pérez, M. García-Borroto, and J. Ruiz-Shulcloper, "Object Selection Based on Subclass Error Correcting for ALVOT," Lecture Notes in Computer Science, vol. 4756, pp. 496-505, 2007.

Andres Eduardo Gutierrez Rodriguez is graduated from Las Villas Central University, Cuba, in 2006. He received the M.S. degree in 2009 from the University of Ciego de Ávila, Cuba. His research interests are pattern recognition and biometry.

Relevant papers:

-M. A. Medina-Pérez, A. Gutiérrez-Rodríguez, and M. García-Borroto, "Improving Fingerprint Matching Using an Orientation-Based Minutia Descriptor," Lecture Notes in Computer Science, vol. 5856, pp. 121-128, 2009.
-A. E. Gutierrez-Rodriguez, M. A. Medina-Perez, J. F. Martinez-Trinidad, J. A. Carrasco-Ochoa, and M. Garcia-Borroto, "New Dissimilarity Measures for Ultraviolet Spectra Identification," Lecture Notes in Computer Science, vol. 6256, pp. 220-229, 2010.

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Program Manager
Spain Spain
Octavio Loyola-González received his PhD degree in Computer Science from the National Institute for Astrophysics, Optics, and Electronics, Mexico. He has won several awards from different institutions due to his research work on applied projects; consequently, he is a Member of the National System of Researchers in Mexico (Rank1). He worked as a distinguished professor and researcher at Tecnologico de Monterrey, Campus Puebla, for undergraduate and graduate programs of Computer Sciences. Currently, he is responsible for running Machine Learning & Artificial Intelligence practice inside Stratesys., where he is involved in the development and implementation using analytics and data mining. He has outstanding experience in the fields of big data & pattern recognition, cloud computing, IoT, and analytical tools to apply them in sectors where he has worked for as Banking & Insurance, Retail, Oil&Gas, Agriculture, Cybersecurity, Biotechnology, and Dactyloscopy. From these applied projects, Dr. Loyola-González has published several books and papers in well-known journals, and he has several ongoing patents as manager and researcher in Stratesys.

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