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Operating Principles for Very small fingerprint sensors

Operating Principles for Very small fingerprint sensors. Progress in low-cost sensor systems. The first step is the movement from Modular sensor devices  silicon integrated sensor devices Cost is now driven by silicon size The second step is a new generation of very small devices

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Operating Principles for Very small fingerprint sensors

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  1. Operating Principles for Very small fingerprint sensors

  2. Progress in low-cost sensor systems • The first step is the movement from • Modular sensor devices  silicon integrated sensor devices • Cost is now driven by silicon size • The second step is a new generation of very small devices • Small touch sensors • Small slide sensors

  3. An example of a very small touch sensor Size of active sensing area AuthenTec AES-3500 small touch sensor

  4. How do small touch sensors work • Acquiring enough repeatable information to match accurately • Use the higher density small-scale feature information captured in high quality TruePrint images to perform matching using less skin area • Allowing flexible finger positioning on the sensor • Use template compositing to store areas of finger skin larger than the sensor itself

  5. High Resolution TruePrint Imaging AuthenTec’s very small touch sensors can capture highly detailed images with excellent repeatably. This image is from an AES-3500 sensor running experimental high resolution control software.

  6. High Resolution TruePrint Imaging A topographic analysis program highlights some of the detail that can be extracted from the image.

  7. Flexible finger positioning using a composite template – concept illustration Single touch images • Multiple touches during the enroll process • Are logically interconnected • Into a larger composite template Composite template

  8. What information can be contained in a composite template? • Template is: • Several views of a finger • Location of each view relative to others • Image and/or feature data for each view Image representation Pattern representation Feature (minutia) data Other data • Relative location • Confidence

  9. Live image • Relative Location • Match Score Final score calculation Match or non-match Verification using a composite template • Conceptually: • Compare live view against each template view • Final score is statistical combination of all evaluations Template

  10. How do small slide sensors work • Acquiring enough repeatable information to match accurately • Slide the finger across the sensor • Capture a “stream” of small image slices • Allowing flexible finger positioning on the sensor • Same sliding usage method allows flexible finger positioning

  11. Slide sensor operation Slide sensors are required where lowest cost is paramount. slide User slides the finger across the sensor Sensor Stream of image slices Small local processor Match or non-match Template Inexpensive devices usually have small processors.

  12. Stream of image slices Match stitched image segments Match raw slices | Slide sensor processing options Stitched image segments Sensor Finger movement Matching Options = Increasing processor load

  13. Comparison of small sensors

  14. For more information … Click here to learn about fingerprint Matching methods Click here to learn about Specifying commercial biometric systems Back to Beginning

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