Information of face & palmpront multimodal biometric

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Main Author: Hayati Hasibuan, Zainal
Other Authors: Dr. Muhammad Imran Bin Ahmad
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41775
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spelling my.unimap-417752016-05-31T06:30:32Z Information of face & palmpront multimodal biometric Hayati Hasibuan, Zainal Dr. Muhammad Imran Bin Ahmad Multimodal Biometrics Biometrics Physiological verification Palmprint Access is limited to UniMAP community. Multimodal Biometrics is a system that are capable of using more than one physiological characteristic for verification or identification. It also refer to the automatic identification or verification of an individual. Biometric is a unique. For biometric identification, it process of trying to find out a person’s identify by comparing the present against a biometric pattern database . Here are many behaviour function in addition to physiological in which employed in biometric program for example fingerprint, iris, deal with, hearing, personal, voiceprint in addition to hands print out. Man or women identification can be separated in proof in addition to identification is dependent upon your circumstance from the request. Within multimodal biometric methods include many different distinct modalities. Multi-sensor, Multi-method, Multicharacteristic, Multi-capture/instance in addition to Multi-verifier is actually among multimodal biometric program. Biometric involve some help. By way of example, can certainly retain excessive tolerance identification placing. Also, your probability connected with accepting the impostor is actually drastically lowered. Biometric could also lower failure to sign-up rate in addition to hard to utilize phony biometric. This kind of task brings together deal with in addition to arms to become more final results. Incorporate two techniques, particularly the procedure connected with coaching in addition to assessment method. 2016-05-31T06:30:32Z 2016-05-31T06:30:32Z 2015-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41775 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 Multimodal Biometrics
Biometrics
Physiological verification
Palmprint
spellingShingle Multimodal Biometrics
Biometrics
Physiological verification
Palmprint
Hayati Hasibuan, Zainal
Information of face & palmpront multimodal biometric
description Access is limited to UniMAP community.
author2 Dr. Muhammad Imran Bin Ahmad
author_facet Dr. Muhammad Imran Bin Ahmad
Hayati Hasibuan, Zainal
format Learning Object
author Hayati Hasibuan, Zainal
author_sort Hayati Hasibuan, Zainal
title Information of face & palmpront multimodal biometric
title_short Information of face & palmpront multimodal biometric
title_full Information of face & palmpront multimodal biometric
title_fullStr Information of face & palmpront multimodal biometric
title_full_unstemmed Information of face & palmpront multimodal biometric
title_sort information of face & palmpront multimodal biometric
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41775
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score 13.222552