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High Resolution Ultrasonic Method for 3D Fingerprint Recognizable Characteristics in Biometrics Identification

  • R.Gr. MaevEmail author
  • E.Yu. Bakulin
  • A. Maeva
  • F. Severin
Conference paper
Part of the Acoustical Imaging book series (ACIM, volume 30)

Abstract

Biometrics is a rapidly evolving scientific and applied discipline that studies possible ways of personal identification by means of unique biological characteristics. Such identification is important in various situations requiring restricted access to certain areas, information and personal data and for cases of medical emergencies. A number of automated biometric techniques have been developed, including fingerprint, hand shape, eye and facial recognition, thermographic imaging, etc. All these techniques differ in the recognizable parameters, usability, accuracy and cost. Among these, fingerprint recognition stands alone since a very large database of fingerprints has already been acquired. Also, fingerprints are key evidence left at a crime scene and can be used to indentify suspects. Therefore, of all automated biometric techniques, especially in the field of law enforcement, fingerprint identification seems to be the most promising. We introduce a newer development of the ultrasonic fingerprint imaging. The proposed method obtains a scan only once and then varies the C-scan gate position and width to visualize acoustic reflections from any appropriate depth inside the skin. Also, B-scans and A-scans can be recreated from any position using such data array, which gives the control over the visualization options. By setting the C-scan gate deeper inside the skin, distribution of the sweat pores (which are located along the ridges) can be easily visualized. This distribution should be unique for each individual so this provides a means of personal identification, which is not affected by any changes (accidental or intentional) of the fingers’ surface conditions. This paper discusses different setups, acoustic parameters of the system, signal and image processing options and possible ways of 3-dimentional visualization that could be used as a recognizable characteristic in biometric identification.

Keywords

Identification Fingerprints Skin Acoustic microscopy Biometrics 

Notes

Acknowledgments

This work was inspired and supported by The National Law Enforcement and Corrections Technology Center – West, The Aerospace Corporation (USA) and Tessonics Corporation (Canada).

References

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    Millard, K.: Developments on automatic fingerprint recognition, Proc. Int. Carnahan Conf. Security Technol. 173–178 (1983)Google Scholar
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    Schneider, J.K.: Surface Feature Mapping Using High Resolution C-Scan Ultrasonography, Ph.D. Dissertation, State University of New York at Buffalo, Electrical and Computer Engineering Dept. (1990)Google Scholar
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    Schmitt, R.M., Scott, W.G., Irving, R.D., Arnold, J., Bardons, C., Halpert, D., Parker, L.: Ultrasonic imaging of fingerprints using acoustical impediography, IEEE Ultrasonics Symposium, 680–688 (2004)Google Scholar
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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • R.Gr. Maev
    • 1
    Email author
  • E.Yu. Bakulin
    • 2
  • A. Maeva
    • 2
  • F. Severin
    • 2
  1. 1.Chrysler/NSERC Industrial Research Chair in Applied Solid State Physics and Material Characterization, The Institute for Diagnostic Imaging Research, University of WindsorWindsorCanada
  2. 2.Institute for Diagnostic Imaging Research, University of WindsorWindsorCanada

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