Fingerprint Scaling for Sensor Interoperability

Jian Min Guo; Chun Xiao Ren; Yu Xiao Wu

doi:10.4028/www.scientific.net/AMM.303-306.908

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Fingerprint Scaling for Sensor Interoperability

Fingerprint Scaling for Sensor Interoperability

Abstract:

The need for sensor interoperability has increased tremendously in many large-scale fingerprint applications such as e-commerce, welfare-disbursement and e-education. In this paper, we present fingerprint scaling, an innovative fingerprint system module, which resizes the fingerprint images to solve the problem of sensor interoperability with minimum modification to existing system. In template-based scaling methods, we have developed an estimation method using Delaunay triangulation algorithm. The efficacy of the scaling technique has been assessed by embedding a scaling module into a traditional fingerprint recognition system. Our experiments have shown very positive results. Experimental results indicated that the accuracy and robustness of fingerprint system can be improved effectively by embedding such a scaling module into the traditional framework of fingerprint systems under multi-sensor situation.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

908-911

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.908

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Online since:

February 2013

Authors:

Jian Min Guo, Chun Xiao Ren, Yu Xiao Wu

Keywords:

Delaunay Triangulation, Fingerprint, Ridge Distance, Scaling, Sensor Interoperability

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References

[1] A. Ross, and R. Nadgir, A calibration model for fingerprint sensor interoperability, SPIE, Kissimmee, FL, United states, 2006, SPIE.

Google Scholar

[2] A. Ross, and A. Jain, Biometric sensor interoperability: A case study in fingerprints. Lecture notes in computer science (2004) 134-145.

DOI: 10.1007/978-3-540-25976-3_13

Google Scholar

[3] F. Alonso-Fernandez, R.N.J. Veldhuis, A.M. Bazen, J. Fierrez-Aguilar, and J. Ortega-Garcia, Sensor Interoperability and Fusion in Fingerprint Verification: A Case Study using Minutiae-and Ridge-Based Matchers, Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on, 2006, pp.1-6.

DOI: 10.1109/icarcv.2006.345483

Google Scholar

[4] A. Ross, and R. Nadgir, A thin-plate spline calibration model for fingerprint sensor interoperability. IEEE Transactions on Knowledge and Data Engineering 20 (2008) 1097-1110.

DOI: 10.1109/tkde.2007.190696

Google Scholar

[5] D. Maio, and D. Maltoni, Direct gray-scale minutiae detection in fingerprints. IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (1997) 27-40.

DOI: 10.1109/34.566808

Google Scholar

[6] G. Bebis, T. Deaconu, and M. Georgiopoulos, Fingerprint identification using Delaunay triangulation, Information Intelligence and Systems, 1999, pp.452-459.

DOI: 10.1109/iciis.1999.810315

Google Scholar

[7] C. Ren, Y. Yin, J. Ma, and H. Li, Fingerprint scaling, Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, p.474–481, (2008).

DOI: 10.1007/978-3-540-87442-3_59

Google Scholar