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Vein Recognition

Author(s):

Shital S. Mali , Ramrao Adik Institute of Technology Nerul, Navi Mumbai; Jyoti Prakash Vengurlekar, Ramrao Adik Institute of Technology Nerul, Navi Mumbai

Keywords:

Image Processing, Biomatrix, Vein

Abstract

Many biometric systems, such as face, fingerprint and iris have been studied extensively for personal verification and identification purposes. Biometric identification with vein patterns is a more recent approach that uses the vast network of blood vessels underneath a person’s skin. These patterns in the hands are assumed to be unique to each individual and they do no change over time except in size. As veins are under the skin and have a wealth of differentiating features, an attempt to copy an identity is extremely difficult. These properties of uniqueness, stability and strong immunity to forgery of the vein patterns make it a potentially good biometric trait which offers greater security and reliable features for personal identification. For recognizing vein pattern we can make use of dorsal hand and palm print database. In this particular recognition we will make use dorsal hand database. As dorsal hand can give proper vein pattern and palm print gives compressed image of hand which cannot give proper vein pattern. The hand vein database has been collected under realistic conditions in that subjects had to undergo the procedures of holding a bag, pressing an elastic ball and cooling with ice, all exercises that force changes in the vein patterns. The proposed hand vein authentication system uses the near infrared imaging techniques. Captured images will be processed before matching for noise suppression and data reduction. Vein recognition can be used in the personal authentication system. In this vein pattern of an individual is used to identify the person. As vein pattern is unique in individual. Normally it won’t vary for long period of time. So that chances of data duplication are minimized whereas in fingerprint, iris and in face recognition it can be duplicated. To reduce the chances of duplication we can make use of vein pattern recognition.

Other Details

Paper ID: IJSRDV2I2341
Published in: Volume : 2, Issue : 2
Publication Date: 01/05/2014
Page(s): 927-931

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