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Biometric Sensor Image Fusion for Identity Verification: A Case Study with Wavelet-based Fusion Rules and Graph Matching Authors *Dakshina Ranjan Kisku, Ajita Rattani, Phalguni Gupta, Jamuna Kanta Sing. Presented by:  Dakshina Ranjan Kisku *Contact person: drkisku@ieee.org
Agenda: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction: ,[object Object],[object Object],[object Object]
Biometrics systems: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Contd
Biometrics systems ,[object Object],[object Object],[object Object],[object Object]
Contd
Biometrics systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Modality based categorization: ,[object Object],[object Object],[object Object],[object Object],[object Object]
Fusion levels in multibiometrics: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Wavelet decomposition and biometrics image fusion: ,[object Object],[object Object],[object Object]
Contd
wavelet decomposition ,[object Object],[object Object],[object Object],[object Object]
Contd
wavelet decomposition ,[object Object],[object Object]
Contd
 Fig. 1. A generic structure of wavelet based fusion approach is shown.
Fusion rules applied: ,[object Object],[object Object],[object Object],[object Object],[object Object]
Contd
 Fig. 2. Haar wavelet based fusion of face and palmprint is shown where the “Maximum” fusion rule is applied.
Contd
 Fig. 3. Haar wavelet based fusion is presented for face and palmprint images, where “Mean” fusion rule is applied.
Contd
 Fig. 4. Haar wavelet based fusion is presented, where Up-Down fusion rule is applied.
Contd
 Fig. 5. Haar wavelet based fusion scheme is shown, where Down-Up fusion is applied.
Overview of SIFT features: ,[object Object],[object Object],[object Object],[object Object],[object Object]
Contd
 ,[object Object],Fig. 6. SIFT feature extraction from fused image is shown.
Graph matching technique and verification: ,[object Object],[object Object],[object Object],[object Object]
Contd
 ,[object Object],[object Object],[object Object]
Contd

Contd
 Hence, the matching between a pair of graphs is established by using the posteriori probabilities and assigning the labels from the gallery graph to the points on the probe graph.
Experimental results: ,[object Object],[object Object],[object Object]
Contd
 Figure. Performances are shown through ROC curves determined from different wavelet based fusion techniques. The fusion rules are – “Down-up (DU)” wavelet fusion rule, “Maximum” wavelet fusion rule, “Mean” wavelet fusion rule and “Up-down (UD)” wavelet fusion rule
Conclusion: ,[object Object],[object Object],[object Object]
Bibliography: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bibliography: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Questions ???
[object Object],[object Object]

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IEEE HST 2009

  • 1. Biometric Sensor Image Fusion for Identity Verification: A Case Study with Wavelet-based Fusion Rules and Graph Matching Authors *Dakshina Ranjan Kisku, Ajita Rattani, Phalguni Gupta, Jamuna Kanta Sing. Presented by: Dakshina Ranjan Kisku *Contact person: drkisku@ieee.org
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Contd
 Fig. 1. A generic structure of wavelet based fusion approach is shown.
  • 13.
  • 14. Contd
 Fig. 2. Haar wavelet based fusion of face and palmprint is shown where the “Maximum” fusion rule is applied.
  • 15. Contd
 Fig. 3. Haar wavelet based fusion is presented for face and palmprint images, where “Mean” fusion rule is applied.
  • 16. Contd
 Fig. 4. Haar wavelet based fusion is presented, where Up-Down fusion rule is applied.
  • 17. Contd
 Fig. 5. Haar wavelet based fusion scheme is shown, where Down-Up fusion is applied.
  • 18.
  • 19.
  • 20.
  • 21.
  • 23. Contd
 Hence, the matching between a pair of graphs is established by using the posteriori probabilities and assigning the labels from the gallery graph to the points on the probe graph.
  • 24.
  • 25. Contd
 Figure. Performances are shown through ROC curves determined from different wavelet based fusion techniques. The fusion rules are – “Down-up (DU)” wavelet fusion rule, “Maximum” wavelet fusion rule, “Mean” wavelet fusion rule and “Up-down (UD)” wavelet fusion rule
  • 26.
  • 27.
  • 28.
  • 30.