Friday 14 September 2018

MATLAB-VLSI Project :Detection of Finger vein

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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