Fingerprint synthesis
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Fingerprint Synthesis. An Hong Tran. Outline. Introduction Haar Wavelet Transform Fingerprint Synthesis Application Results Conclusion. Introduction. Verification Test Large Database Use Parameter Varying techniques New approach Extract features from parents. Decomposition.

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Fingerprint Synthesis

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Fingerprint synthesis

Fingerprint Synthesis

An Hong Tran


Outline

Outline

  • Introduction

  • Haar Wavelet Transform

  • Fingerprint Synthesis Application

  • Results

  • Conclusion


Introduction

Introduction

  • Verification Test

    • Large Database

  • Use Parameter Varying techniques

  • New approach

    • Extract features from parents


Haar wavelet transform

Decomposition

Reconstruction

F

C

F

D

Haar Wavelet Transform


Haar wavelet transform1

Haar Wavelet Transform


Fingerprint synthesis application

Fingerprint Synthesis Application

  • Direct (pixel value)

  • Orientation map (O-map) switching

  • Orientation map (O-map) manipulation

  • Orientation map (O-map) merging


Fingerprint synthesis application1

Fingerprint Synthesis Application

  • Direct (pixel value)

  • O-map switching

  • O-map manipulation

  • O-map merging


Fingerprint synthesis application direct

Fingerprint Synthesis Application – Direct

(a)

(b)


Fingerprint synthesis application direct1

Fingerprint Synthesis Application – Direct


Fingerprint synthesis application direct2

Fingerprint Synthesis Application – Direct


Fingerprint synthesis application2

Fingerprint Synthesis Application

  • Direct (pixel value)

  • O-map Switching

  • O-map manipulation

  • O-map merging


Fingerprint synthesis application o map switch

Fingerprint Synthesis Application – O-map switch


Fingerprint synthesis application o map switch1

Fingerprint Synthesis Application – O-map switch


Fingerprint synthesis application o map switch2

Fingerprint Synthesis Application – O-map switch


Fingerprint synthesis application3

Fingerprint Synthesis Application

  • Direct (pixel value)

  • O-map switching

  • O-map manipulation

  • O-map merging


Fingerprint synthesis application o map manip

Fingerprint Synthesis Application – O-map manip


Fingerprint synthesis application o map manip1

Fingerprint Synthesis Application – O-map manip


Fingerprint synthesis application o map manip2

Fingerprint Synthesis Application – O-map manip


Fingerprint synthesis application o map manip3

Fingerprint Synthesis Application – O-map manip


Fingerprint synthesis application o map manip4

Fingerprint Synthesis Application – O-map manip


Fingerprint synthesis application4

Fingerprint Synthesis Application

  • Direct (pixel value)

  • O-map switching

  • O-map manipulation

  • O-map merging


Fingerprint synthesis application o map merge

Fingerprint Synthesis Application – O-map merge


Fingerprint synthesis application o map merge1

Fingerprint Synthesis Application – O-map merge


Fingerprint synthesis application o map merge2

Fingerprint Synthesis Application – O-map merge


Fingerprint synthesis application o map merge3

Fingerprint Synthesis Application – O-map merge


Fingerprint synthesis application o map merge4

Fingerprint Synthesis Application – O-map merge


Result

Result

  • Nnew = N + 3Σk=2NCk ,

    • Nnewis the number of sample in the new database,

    • Nis number of original samples

    • NCkis the Combination operation,6C2 = 15.

  • Nnew = N + 3(2n – 1)


Conclusion future work

Conclusion & Future Work

  • Show good promises.

  • Merging features from parents.

  • Weight Vector analysis.

    • Balance between uniqueness and realism.


References

References

  • Local B-spline Multiresolution with Examples in Iris Synthesis and Volumetric Rendering, Faramarz F. Samavati, Richard .H. Bartels and Luke Olsen, Image Pattern Recognition: Synthesis and Analysis in Biometrics, Series in Machine Perception and Artificial Intelligence , Vol. 67, World Scientific Publishing, 2007.

  • A. Adler, “Can Images Be Regenerated from Biometric Templates,” Proc. Biometrics Consortium Conf., Sept. 2003.

  • R. Cappelli, “Synthetic Fingerprint Generation,” Handbook of Fingerprint Recognition, D. Maltoni, D. Maio, A.K. Jain, and S. Prabhakar, eds., Springer, 2003.

  • Anil K. Jain , David Maltoni, Handbook of Fingerprint Recognition, Springer-Verlag New York, Inc., Secaucus, NJ, 2003

  • B. Sherlock and D. Monro, “A Model for Interpreting Fingerprint Topology”, in Pattern Recognition, v. 26, no. 7, 1993, pp. 1047-1095.

  • P. Vizcaya and L. Gerhardt, “A Nonlinear Orientation Model for Global Description of Fingerprints”, in Pattern Recognition, V29, no. 7, 1996, pp. 1221-1231.

  • S. Yanushkevich, V. Shmerko, and D. Popel, Biometric Inverse Problem, CRC Press, 2005.


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