1. DRS \\ 7jun02 1 Operating Principles for Very small fingerprint sensors

2. DRS \\ 7jun02 2 Progress in low-cost sensor systems The first step is the movement from Modular sensor devices  silicon integrated sensor devices 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 touch sensors Small slide sensors Small slide sensors

3. DRS \\ 7jun02 3 An example of a very small touch sensor AuthenTec AES-3500 small touch sensor Size of active sensing area

4. DRS \\ 7jun02 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 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 Use template compositing to store areas of finger skin larger than the sensor itself

5. DRS \\ 7jun02 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. DRS \\ 7jun02 6 High Resolution TruePrint Imaging A topographic analysis program highlights some of the detail that can be extracted from the image.

7. DRS \\ 7jun02 7 Flexible finger positioning using a composite template – concept illustration Multiple touches during the enroll process Are logically interconnected Are logically interconnected Into a larger composite template Into a larger composite template Single touch images Composite template

8. DRS \\ 7jun02 8 What information can be contained in a composite template? Template is: Several views of a finger Several views of a finger Location of each view relative to others Location of each view relative to others Image and/or feature data for each view Image and/or feature data for each view Image representation Pattern representation Feature (minutia) data Other data Relative location Confidence

9. DRS \\ 7jun02 9 Verification using a composite template Conceptually: Compare live view against each template view Compare live view against each template view Final score is statistical combination of all evaluations Final score is statistical combination of all evaluations Template Relative Location Match Score Live image Match or non-match Final score calculation

10. DRS \\ 7jun02 10 How do small slide sensors work Acquiring enough repeatable information to match accurately Slide the finger across the sensor Slide the finger across the sensor Capture a “stream” of small image slices Capture a “stream” of small image slices Allowing flexible finger positioning on the sensor Same sliding usage method allows flexible finger positioning Same sliding usage method allows flexible finger positioning

11. DRS \\ 7jun02 11 Slide sensor operation Template Match or non-match Sensor Small local processor Slide sensors are required where lowest cost is paramount. Inexpensive devices usually have small processors. User slides the finger across the sensor slide Stream of image slices

12. DRS \\ 7jun02 12 Slide sensor processing options Stream of image slices Stitched image segments Sensor Matching Options = Match raw slices Match stitched image segments | Increasing processor load Finger movement

13. DRS \\ 7jun02 13 Comparison of small sensors Sensor Cost Ease of use Typical biometric accuracy Front panel footprint Interface bandwidth needed Small touch sensor Very low BestBestSmallLow Small slide sensor LowestGoodGoodSmallestHigh

14. DRS \\ 7jun02 14 For more information … Back to Beginning Click here to learn about Specifying commercial biometric systems Click here to learn about fingerprint Matching methods