Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/321499
Title: Palm Vein Image Recognition of Human Using Discrete Enhancement
Researcher: SARAVANAN, A
Guide(s): 
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Bharath University
Completed Date: 2017
Abstract: This project presents new approach to develop the appearance of palm vein verification that uses blood vessel patterns as a personal identifying factor. newlineThe proposed approach of the vein is hard for replacement, since veins are internal to the human body and the palm vein authentication technology offers a high level of accuracy. newline newlineThe palm-vein-based approach attempts to be more effectively accommodating the potential deformations, revolving and translational changes by encoding the orientation preserving features. newline newlineAn Image Analysis the technique for Vascular Pattern of Hand Palm, which in turn leads towards the Palm Vein Authentication of an individual. Near- Infrared Image a Palm Vein pattern is taken and passed through four different processes or algorithms to process the Infrared Image in such a way that the future authentication can be done accurately or almost exactly. newline newlineThese four different processes are: 1) Junction point algorithm. 2) Hand Geometry algorithm 3) Pose invariant algorithm 4) Calculation of Rank Matrix. newlineThe resultant Images will be stored in a Database, as the vascular patterns are unique to each individual, so future authentication can be done by comparing the pattern of veins in the palm of a person being authenticated with a pattern stored in a database. newline newline
Pagination: 
URI: http://hdl.handle.net/10603/321499
Appears in Departments:Department of Electronics and Communication Engineering

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appendice.pdf2.05 MBAdobe PDFView/Open
certificate.pdf234.44 kBAdobe PDFView/Open
chapter 1.pdf482.4 kBAdobe PDFView/Open
chapter 2.pdf473.23 kBAdobe PDFView/Open
chapter 3.pdf683.8 kBAdobe PDFView/Open
chapter 4.pdf534.39 kBAdobe PDFView/Open
chapter 5.pdf309.32 kBAdobe PDFView/Open
preliminary pages.pdf522.25 kBAdobe PDFView/Open
references.pdf245.56 kBAdobe PDFView/Open
title page.pdf95.72 kBAdobe PDFView/Open
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