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Posted 30 Jul 2010
Licenced CPOL

A Framework in C# for Fingerprint Verification

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
18 - publicly available Yes 20-Nov-15 5:36 Available Member 7071888
We included a link to an extension of this framework only for research purpose.
17 No 3-Dec-14 11:02 Available Member 7071888
We added a comment and a reference concerning to experimental results.
16 No 18-Apr-14 4:51 Available Member 7071888
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 11:49 Available Member 7071888
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 5:29 Available Member 7071888
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 4:32 Available Member 7071888
Updates in content. 17 changes had been made.
12 No 11-Feb-13 9:36 Available Member 7071888
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 5:28 Available Member 28970
Updates in content. 9 changes had been made.
9 No 23-May-12 9:29 Available Member 7071888
8 No 23-May-12 7:54 Pending Member 3597239
7 No 22-May-12 18:44 Available Member 7071888
6 No 19-Oct-10 1:11 Available Member 3866010
5 No 19-Aug-10 7:53 Composing Member 7071888
3 No 30-Jul-10 5:15 Composing Member 7071888
2 No 30-Jul-10 5:02 Composing Member 7071888
1 No 28-Jul-10 13:44 Composing Member 7071888

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

Miguel Angel Medina Pérez
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 several papers in referenced journals such as "Pattern Recognition," "Knowledge-Based Systems," "Information Sciences", and "IEEE Transactions on Information Forensics and Security."

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.

Octavio Loyola-González
Team Leader
Mexico Mexico
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:

-Medina-Pérez, M. A., Moreno, A. M., Ballester, M. Á. F., García-Borroto, M., Loyola-González, O., & Altamirano-Robles, L. (2016). Latent fingerprint identification using deformable minutiae clustering. Neurocomputing, 175, 851-865.

-Loyola-González, O., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., & García-Borroto, M. (2016). Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases. Neurocomputing, 175, 935-947.

-Loyola-González, O., García-Borroto, M., Martínez-Trinidad, J. F., & Carrasco-Ochoa, J. A. (2014). An empirical comparison among quality measures for pattern based classifiers. Intelligent Data Analysis, 18(6S).

- Medina-Pérez, M. A., Loyola-González, O., Gutierrez-Rodríguez, A. E., García-Borroto, M., & Altamirano-Robles, L. (2014). Introducing an experimental framework in C# for fingerprint recognition. In Pattern Recognition (pp. 132-141). Springer International Publishing.

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