Detection of Finger vein structure
through MIURA Max-curve algorithm with improved accuracy
Aim
To
design a MATLAB simulated model for Detection of Finger vein structure through
Max-curve algorithm with improved accuracy
Abstract
Finger vein recognition is
a method of biometric authentication that uses pattern-recognition techniques
based on images of human finger vein patterns beneath the skin's surface.
Finger vein recognition is one of many forms of biometrics used to identify
individuals and verify their identity.Finger Vein ID is a biometric
authentication system that matches the vascular pattern in an individual's
finger to previously obtained data. Hitachi developed and patented a finger
vein ID system.In the existing design a matlab model is developed using tri
branch function to detect and analyze the finger veins.In the proposed system a
accurate detection of MIURA max-curve algorithm is developed for the detection
of finger vein branches. This method vary the threshold comparisons dynamically
henceforth enabling the system to detect various similar output of the finger
veins for better comparison. This method will try to extract the
centre lines of the veins. This is done by calculating local maximum curvatures
in cross-sectional profiles of a vein image. The method is supposed to be
robust against varying vein widths and non-uniform brightness. Repeated line
tracking,This algorithm will start at several random points and will try to
track a line. If a pixel has been visited by the line tracking algorithm
multiple times it is likely to be a vein
Existing
System
In
the existing design a matlab model is developed using tri branch function to
detect and analyze the finger veins. Finger
vein recognition is a method of biometric authentication that uses pattern-recognition
techniques based on images of human finger vein patterns beneath the skin's
surface. Finger vein recognition is one of many forms of biometrics used to
identify individuals and verify their identity.Finger Vein ID is a biometric
authentication system that matches the vascular pattern in an individual's
finger to previously obtained data. Hitachi developed and patented a finger
vein ID system
Proposed
System
In
the proposed system a accurate detection of MIURA max-curve algorithm is developed
for the detection of finger vein branches. This method vary the threshold
comparisons dynamically henceforth enabling the system to detect various
similar output of the finger veins for better comparison. This
method will try to extract the centre lines of the veins. This is done by
calculating local maximum curvatures in cross-sectional profiles of a vein
image. The method is supposed to be robust against varying vein widths and
non-uniform brightness. Repeated line tracking,This algorithm will start at
several random points and will try to track a line. If a pixel has been visited
by the line tracking algorithm multiple times it is likely to be a vein
Block Diagram
Software Required
MATLAB
2013A
KEIL
u VISION (Embedded C)
Hardware Required
PIC
Microcontroller
UART
Interface Driver
LCD
Display
Power
supply
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