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Automatic Fingerprint Acquisition System

Automatic Fingerprint Acquisition System. An example employing Hardware-Software Co-Design. - Komal kasat Nalini Kumar Gaurav Chitroda. Outline. Motivation Introduction Finger-print Based Sensors System-On-Chip Architectures Hardware-Software System Co-Design Results and Conclusions

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Automatic Fingerprint Acquisition System

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  1. Automatic Fingerprint Acquisition System An example employing Hardware-Software Co-Design - Komalkasat Nalini Kumar GauravChitroda

  2. Outline • Motivation • Introduction • Finger-print Based Sensors • System-On-Chip Architectures • Hardware-Software System Co-Design • Results and Conclusions • Future Work

  3. Motivation • Differences in Biological characteristics • Using them to improve security • Using them in place of Pins and Passwords • Fingerprint Recognition systems

  4. Introduction • Stages of Biometric Recognition Process - Enrolment: Measurement of particular Biometric characteristic of user - Authentication: Comparison of stored template and current input. - Processing and Action Phase • Fingerprint Recognition Systems: - Ridges and Valleys Identification - Fingerprint Pores

  5. Finger-print based sensors • Optical sensors • Ultrasound sensors • RF sensors • Silicon based Sensors • Pressure based sensors • Capacitance based sensors • Thermal sensors

  6. System-On-Chip Architecture

  7. Hardware-Software Co-Design • Overview : The paper focuses on the first stage of the System • Acquisition and Reconstruction

  8. HW-SW partitioning • Compute-intensive tasks are selected to be implemented by Hardware - Image Acquisition and Reconstruction • Less intensive tasks are implemented by Software running on Microprocessor - Sequence of steps or scheduling - Detection of finger on sensor

  9. HARDWARE TASKS SOFTWARE TASKS No Finger On Sensor T I M E S E Q U E N C E Finger On Sensor 1 Task 1: Finger Detection 2 3 4 Task 4: Image Storage Task 2: Slice Acquisition Task 3: Image Reconstruction No Finger On Sensor Finger On Sensor 5 Task 5: END Fingerprint Acquisition

  10. Image Acquisition Stage • A) Handling of the sensor to get the fingerprint slices • B) Storage of the captured slices in a correct way

  11. Reconstruction On-the-Fly Stage • Tasks in Reconstruction Stage: • Management of the concurrent acquisition stage, • Reconstruction of the fingerprint image from the acquired slices • Handshaking with the microcontroller in order to allow the image storage process.

  12. Overlap is found between the first and second slices by line comparison. • After detection of overlap an interrupt is generated to the microcontroller to transfer the overlapped lines to memory. • Repeated till done or finger taken off

  13. Acquisition time is obviously dependent on finger sliding speed. • But good quality fingerprint images can be obtained at freq of 200 slices/sec.

  14. Results and Conclusions • The platform permits the Hw-Sw co-design of medium-low complex systems. • The described architecture has provided the authors with a low-cost solution. • The first stage of the Automated Fingerprint identification system is detailed.

  15. Future Work • To develop further stages: - image enhancement phase - Signature Extraction - Signature Storage - Biometric matching - Encryption of the verification result

  16. Questions ???

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