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Palmprint recognition using local features

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Bibliographic Details
Main Author: Ahmad Zariss, Mansor
Other Authors: Dr. Muhammad Imran Ahmad
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Biometrics
Authentication
Security
Palmprint
Palmprint recognition
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41757
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spelling my.unimap-417572016-05-30T07:38:06Z Palmprint recognition using local features Ahmad Zariss, Mansor Dr. Muhammad Imran Ahmad Biometrics Authentication Security Palmprint Palmprint recognition Access is limited to UniMAP community. There was a period of time when biometrics had been viewed as the technology for the feature. It has showcased prominently in variety of science fiction films being on sophisticated protection measure that is used to protect important documents or files, and propreties etc. Today, it is not far from reality with the help of overly busy innovation of technology. Biometrics will be progressively being used for protected authentication of people or individual’s as well as creating its existence felts within human lives. By using an individual’s physical or behavioral characterisctics to recognize these individuals. It is a complicated function of the people’s protection need, simplicity of use as well the size of the organization by the decision which that biometric is employed. Due to the stability and unique characteristic, palmprint is probably the comparatively a brand-new physical biometrics. The rich texture details of information of palmprint provides on the effective means within personal or individuals identification. The main visual section of the human brains is in charge of making the foundation of three-dimensional chart of visual space and extracting features concerning the type and positioning of the objects based on psycho-physiology research. The fundamental design can be indicated as linear superposition of basis function. Specifically, this particular concepts named Principal Component Analysis (PCA) motivated us to be able to implement a linear projection technique to extract the palmprint consistency texture features. In this paper has an overview and methods utilizing for capturing an image, processing an image, pre-processing, verification of algorithm, algorithm specifically created for real time palmprint recognition in large database and measures regarding safeguarding palmprint systems along with users privacy. 2016-05-30T07:38:06Z 2016-05-30T07:38:06Z 2015-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41757 en Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Biometrics
Authentication
Security
Palmprint
Palmprint recognition
spellingShingle Biometrics
Authentication
Security
Palmprint
Palmprint recognition
Ahmad Zariss, Mansor
Palmprint recognition using local features
description Access is limited to UniMAP community.
author2 Dr. Muhammad Imran Ahmad
author_facet Dr. Muhammad Imran Ahmad
Ahmad Zariss, Mansor
format Learning Object
author Ahmad Zariss, Mansor
author_sort Ahmad Zariss, Mansor
title Palmprint recognition using local features
title_short Palmprint recognition using local features
title_full Palmprint recognition using local features
title_fullStr Palmprint recognition using local features
title_full_unstemmed Palmprint recognition using local features
title_sort palmprint recognition using local features
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41757
_version_ 1643799738796998656
score 13.222552

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