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Compressed Fingerprint Matching and Camera Identification via Random Projections

Compressed Fingerprint Matching and Camera Identification via Random Projections

Starting at: Rs.4,500.00

4500 reward points

Compressed Fingerprint Matching and Camera Identification via Random Projections

 Sensor imperfections in the form of photoresponse nonuniformity (PRNU) patterns are a well-established fingerprinting technique to link pictures to the camera sensors that acquired them. The noise-like characteristics of the PRNU pattern make it a difficult object to compress, thus hindering many interesting applications that would require storage of a large number of fingerprints or transmission over a bandlimited channel for real-time camera matching. We propose to use real-valued or binary random projections to effectively compress the fingerprints at a small cost in terms of matching accuracy. The performance of randomly projected fingerprints is analyzed from a theoretical standpoint and experimentally verified on databases of real photographs. Practical issues concerning the complexity of implementing random projections are also addressed using circulant matrices.


 


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  • Model: PROJ5630
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Monday 26 September, 2016.

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