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EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:

          A novel fingerprint liveness detection method combining perspiration and morphological features.

          Anti-spoofing approaches such as the use of multi biometrics or challenge-response methods, special attention has been paid by researchers and industry to the liveness detection techniques.

PROPOSED CONCEPT:

Liveness detection methods are usually classified into two ,

          Hardware-based techniques, which add some specific device to the sensor in order to detect particular properties of a living trait.

          Software-based techniques, in this case the fake trait is detected once the sample has been acquired with a standard.

EXISTING TECHNIQUE:

          Multispectral Imaging  

PROPOSED ALGORITHM:

          Image quality assessment algorithm     

TECHNIQUE DEFINITION:

          In order to capture information-rich data about the surface and subsurface features of the skin of the finger, the MSI sensor collects multiple images of the finger under a variety of optical conditions.

ALGORITHM DEFINITION:

          The use of image quality assessment for liveness detection is motivated by the assumption that: “It is expected that a fake image captured in an attack attempt will have different quality than a real sample acquired in the normal operation scenario for which the sensor was designed.”

DRAWBACKS:

          On fraudulently access the biometric system.

          The usual digital protection mechanisms (e.g., encryption, digital signature or watermarking) are not effective.

ADVANTAGES:

          Speed and very low complexity, which makes it very well suited to operate on real scenarios.

          Computation load needed for image processing purpose is much reduced, combined with very simple classifiers.