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Palmprint recognition on mobile devices

Palmprint recognition on mobile devices

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In mobile palmprint recognition, palmprint images are acquired by built-in cameras of mobile devices, such as smart phone, iPad. The preprocessing, feature extraction and storage/matching are implemented on the platform of mobile device.

Chapter Contents:

  • 12.1 Background
  • 12.2 Current authentication technologies on mobile devices
  • 12.2.1 Knowledge-authentication
  • 12.2.2 Biometric-authentication
  • 12.2.2.1 Drawbacks of mobile face
  • 12.2.2.2 Drawbacks of mobile fingerprint
  • 12.2.2.3 Drawbacks of mobile voice
  • 12.2.2.4 Drawbacks of mobile iris
  • 12.3 Mobile palmprint recognition framework
  • 12.3.1 Introduction on palmprint
  • 12.3.2 Strengths of mobile palmprint
  • 12.3.3 Palmprint recognition framework
  • 12.4 Palmprint acquirement modes
  • 12.4.1 Offline mode
  • 12.4.2 Online mode
  • 12.4.2.1 Contact mode
  • 12.4.2.2 Contactless mode
  • 12.4.2.3 Mobile mode
  • 12.5 Palmprint acquirement and preprocessing
  • 12.5.1 Preprocessing in contact mode
  • 12.5.1.1 Contour tracking
  • 12.5.1.2 Maximal inscribed circle
  • 12.5.1.3 Morphological operator
  • 12.5.2 Preprocessing in contactless mode
  • 12.5.2.1 Skin-color segmentation
  • 12.5.2.2 Conjunction of triple-perpendicular-directional translation residual
  • 12.5.2.3 Minimum radial distance
  • 12.5.2.4 Active appearance model+ nonlinear regression
  • 12.5.3 Acquirement and preprocessing in mobile mode
  • 12.6 Palmprint feature extraction and matching
  • 12.7 Conclusions and development trends
  • Acknowledgments
  • References

Inspec keywords: message authentication; feature extraction; cameras; palmprint recognition; mobile computing

Other keywords: feature extraction; built-in cameras; mobile devices; palmprint authentication; palmprint recognition

Subjects: Image recognition; Data security; Computer vision and image processing techniques; Ubiquitous and pervasive computing

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