Abstract
This article briefly describes the advanced computer system designed for the recognition of minutiae in fingerprints digital images. The system provides both automatic and manual extraction of relevant data from the fingerprints images, storing that information in a database. Provides statistical calculations, including calculations for cumulative frequency analysis; this is an important parameter for calculating distinction rates. The system is enabled to differentiate by sex, finger, fingerprint type and sector that has been divided the dactylogram.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Arsuate, G.A., Nasisi, O.H., Martin, M.: Recognition of features in fingerprints for human identification. Universidad Nacional de San Juan. Faculty of Engineering. Automation Institute (1997)
Sclove "The, S.L.: occurrence of fingerprints characteristics as two dimensional processes”. Journal of the American Statistical Association 74(367) (1979)
Trauring, M.: Automatic comparasion of finger-ridge patterns. Natura, 938–940 (1963)
The fingerprint identification (Prodac + C Fits), http://www.ica.es.com/prodac/dossier.htm
Janjua, F., Javed, M.Y., Sarfraz, N.: ch.19: Hybrid Fingerprint Verification System Based on Fusion of Feature Extraction and Minutiae Detection Strategy. In: 3rd International Conference on Geometric Modeling and Imaging, GMAI 2008, July 9-11, pp. 114–119 (2008)
Jin, C., Kim, H., Cui, X., Park, E., Kim, J., Hwang, J., Elliott, S.: Comparative Assessment of Fingerprint Sample Quality Measures Based on Minutiae-Based Matching Performance. In: Second International Symposium on Electronic Commerce and Security, May 22-24, vol. 1, pp. 309–313 (2009), doi:10.1109/ISECS.2009.59
Study on the frequency of appearance of the minutiae in fingerprints, FRAPUC. Commissioner General of Police Science. General Directorate of Police and G.C. Date of publication (2002)
Bajo, J., De Paz, J.F., Rodríguez, S., González, A.: Hierarchical neural network for clustering and classification. Logic Journal of the IGLP, http://bisite.usal.es/webisite/?q=en/node/160 , ISSN 1368-9894, ISSN 1367-0751
Pinzón, C.I., De Paz, J.F., Rodríguez, S., Corchado, J.M., Bajo, J.: A hybrid agent-based classification mechanism to detect denial of service attacks. Journal of Physical Agents (JoPHA) 3(3), 11–18 (2009), doi: http://hdl.handle.net/10045/12528 , http://bisite.usal.es/webisite/?q=en/node/92 , ISSN: 1888-0258
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
González, A., Gómez, J., Ramón, M., García, L. (2011). Advanced System for Management and Recognition of Minutiae in Fingerprints. In: Abraham, A., Corchado, J.M., González, S.R., De Paz Santana, J.F. (eds) International Symposium on Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19934-9_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-19934-9_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19933-2
Online ISBN: 978-3-642-19934-9
eBook Packages: EngineeringEngineering (R0)