16-08-2012, 04:11 PM
AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM
AUTOMATED FINGERPRINT.ppt (Size: 1.67 MB / Downloads: 79)
INTRODUCTION
Human fingerprints are unique to each person and can be regarded as some sort of signature, certifying the person's identity.
Our techniques focus on extracting minutiae points (points where capillary lines have branches or ends) from the fingerprint image, and check matching between the sets of fingerprint features.
A good reliable our fingerprint processing technique algorithms is reliable for processing of the fingerprint image:
noise elimination,
minutiae extraction,
At the same time, our algorithms is fast for comfortable use in applications with large number of users.
To reduce the search time and computational complexity, it is desirable to classify fingerprints in an accurate and consistent manner so that the input fingerprint is required to be matched only with a subset of the fingerprints in the database.
Special algorithms have been developed to classify fingerprints into five classes, namely, whorl, right loop, left loop, arch, and tented arch.
Most often used in forensics, rarely in authentication systems
APPLICATIONS
Replacement of PIN, physical tokens
No need of human assistance for identification
Border control
Voting system
Computer security
Banking using ATM
Physical access control of buildings, areas etc
Cost of equipments is going down-cost effective
Reliable
No technological or financial barriers
Future Works
Develop the matching algorithm that is invariant to 3D camera viewpoint change and compare fingerprint recognition system.
The compatibility between photographed fingerprint images with existing commercial touch-based fingerprint verification system.