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A Framework in C# for Fingerprint Verification

, , , , 3 Dec 2014 CPOL
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.

Revisions


  

Compare Revision Minor Date Status Editor
17 - publicly available No 3-Dec-14 17:02 Available Miguel Angel Medina Pérez
We added a comment and a reference concerning to experimental results.
16 No 18-Apr-14 10:51 Available Miguel Angel Medina Pérez
We add two sections to explain how to match fingerprints out of this framework and how to integrate existing algorithms into the framework.
15 No 29-Aug-13 17:49 Available Miguel Angel Medina Pérez
We removed assembly FR.Cappelli2012 because the authors of the MCC provided a public sdk of their algorithm which users can download from http://biolab.csr.unibo.it/mccsdk.html.
14 No 20-Aug-13 11:29 Available Miguel Angel Medina Pérez
We removed the links of databases DB1_A, DB2_A, DB3_A, and DB4_A of FVC2004 because the owners of those databases removed the databases from their server.
13 No 21-May-13 10:32 Available Miguel Angel Medina Pérez
Updates in content. 17 changes had been made.
12 No 11-Feb-13 15:36 Available Miguel Angel Medina Pérez
We included two new fingerprint verification algorithms in the framework. We also moved the class MtiaMapper to assembly FR.Core because it is a class common to most of the algorithms.
11 No 26-Jun-12 11:28 Available Smitha Vijayan
Updates in content. 9 changes had been made.
9 No 23-May-12 15:29 Available Miguel Angel Medina Pérez
8 No 23-May-12 13:54 Pending Octavio Loyola-González
7 No 23-May-12 0:44 Available Miguel Angel Medina Pérez
6 No 19-Oct-10 7:11 Available Deeksha Shenoy
5 No 19-Aug-10 13:53 Composing Miguel Angel Medina Pérez
3 No 30-Jul-10 11:15 Composing Miguel Angel Medina Pérez
2 No 30-Jul-10 11:02 Composing Miguel Angel Medina Pérez
1 No 28-Jul-10 19:44 Composing Miguel Angel Medina Pérez

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Authors

Octavio Loyola González received the B.S. and M.S. degrees from the University of Ciego de Ávila, Cuba, in 2010 and 2012 respectively. He is a PhD student at Instituto Nacional de Astrofísica, Óptica y Electrónica (México). His research interests include pattern recognition, fingerprint recognition, and data mining in imbalanced databases.
 
Relevant papers:
 
- J.C. Lorenzo,M. Varela, M. Hernández, A. Gutiérrez, A. Pérez, O. Loyola González, “Integrated criteria to identify the best treatment in plant biotechnology experiments”, Acta Physiologia Plantarum, 2013, pp. 1-4.
 
- O. Loyola-González, M. García-Borroto, M. A. Medina-Pérez, J. F. Martínez-Trinidad, J. A. Carrasco-Ochoa, and G. De Ita, “An Empirical Study of Oversampling and Undersampling Methods for LCMine an Emerging Pattern Based Classifier,” in 5th Mexican Conference on Pattern Recognition MCPR2013, Springer LNCS 7914,2013, pp. 264–273.
 
- Loyola González, Octavio; Gutiérrez, Andrés E.; García, Milton. "Inducción de árboles de decisión: Inducción de árboles de decisión basada en índices de validación de clúster", Editorial Académica Española. Academic Publishing GmbH & Co. KG. ISBN: 978-3-659-00468-1. 2012, pp. 1-88.

Miguel Angel Medina Pérez received the B.S. and M.S. degrees from the University of Ciego de Ávila, Cuba, in 2007. He is a PhD student at the National Institute of Astrophysics, Optics and Electronics (México). His research interests include pattern recognition and fingerprint recognition.
 
https://sites.google.com/site/miguelmedinaperez/

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.

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.

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