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Naslov:A biometric authentication model using hand gesture images
Avtorji:ID Fong, Simon (Avtor)
ID Zhuang, Yan (Avtor)
ID Fister, Iztok (Avtor)
ID Fister, Iztok (Avtor)
Datoteke:.pdf BioMedical_Engineering_OnLine_2013_Fong_et_al._A_biometric_authentication_model_using_hand_gesture_images.pdf (1,83 MB)
MD5: 5D182D45E604C1E634BCD7FFE341D76F
 
URL http://biomedical-engineering-online.biomedcentral.com/articles/10.1186/1475-925X-12-111
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:A novel hand biometric authentication method based on measurements of the user's stationary hand gesture of hand sign language is proposed. The measurement of hand gestures could be sequentially acquired by a low-cost video camera. There could possibly be another level of contextual information,associated with these hand signs to be used in biometric authentication. As an analogue, instead of typing a password 'iloveu' in text which is relatively vulnerable over a communication network, a signer can encode a biometric password using a sequence of hand signs, 'i', 'l', 'o', 'v', 'e', and 'u'. Subsequently the features from the hand gesture images are extracted which are integrally fuzzy in nature, to be recognized by a classification model for telling if this signer is who he claimed himself to be, by examining over his hand shape and the postures in doing those signs. Itis believed that everybody has certain slight but unique behavioral characteristics in sign language, so are the different hand shape compositions. Simple and efficient image processing algorithms are used in hand sign recognition, including intensity profiling, color histogram and dimensionality analysis, coupled with several popular machine learning algorithms. Computer simulation is conducted for investigating the efficacy ofthis novel biometric authentication model which shows up to 93.75% recognition accuracy.
Ključne besede:biometric authentication, hand gesture, hand sign recognition, machine learning
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Leto izida:2013
Št. strani:str. 1-26
Številčenje:Letn. 12
PID:20.500.12556/DKUM-66482 Novo okno
ISSN:1475-925X
UDK:004.8
COBISS.SI-ID:17279254 Novo okno
DOI:10.1186/1475-925X-12-111 Novo okno
ISSN pri članku:1475-925X
NUK URN:URN:SI:UM:DK:GACTATZV
Datum objave v DKUM:28.06.2017
Število ogledov:1682
Število prenosov:466
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
:
FONG, Simon, ZHUANG, Yan, FISTER, Iztok in FISTER, Iztok, 2013, A biometric authentication model using hand gesture images. BioMedical Engineering Online [na spletu]. 2013. Vol. 12, p. 1–26. [Dostopano 27 april 2025]. DOI 10.1186/1475-925X-12-111. Pridobljeno s: https://dk.um.si/IzpisGradiva.php?lang=slv&id=66482
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Gradivo je del revije

Naslov:BioMedical Engineering Online
Skrajšan naslov:Biomed. Eng. Online
Založnik:BioMed Central
ISSN:1475-925X
COBISS.SI-ID:6029396 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:28.06.2017

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:biometrična avtentikacija, kretnje rok, prepoznavanje kretenj, znakovni jezik, strojno učenje


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