Genetic algorithm based palm recognition method for biometric authentication systems

Čenys, Antanas; Gibavičius, Darius; Goranin, Nikolaj; Marozas, Leonardas

doi:10.5755/j01.eee.19.2.3473

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/140924

Genetic algorithm based palm recognition method for biometric authentication systems

Details

Publication Type (CRIS)

Straipsnis Web of Science duomenų bazėje / Article in Web of Science database (S1a)

Publication Type (eLABa)

Straipsnis Web of Science DB / Web of Science DB article (S1)

Author(s)

Author	Affiliation
Čenys, Antanas	Informacinių sistemų katedra / Department of Information Systems (1046)
Gibavičius, Darius	Informacinių sistemų katedra / Department of Information Systems (1046)
Goranin, Nikolaj	Informacinių sistemų katedra / Department of Information Systems (1046)
Marozas, Leonardas	Informacinių technologijų saugos laboratorija / Laboratory of Infomation Technologies Security (105604)

Title

Genetic algorithm based palm recognition method for biometric authentication systems

[en]

A. Cenys, D. Gibavicius, N. Goranin, L. Marozas

Is part of

Elektronika ir elektrotechnika

Published In

Year	Volume	Issue	Start Page	End Page
2013	19	2	69	74

Publisher

Kaunas : KTU

Publisher (trusted)

KTU

Referenced in Database(s)(DBs)

Science Citation Index Expanded (Web of Science)

INSPEC

VINITI

Extent

p. 69-74

URI

URI	Access Rights
https://hdl.handle.net/20.500.14911/140924
Straipsnis	Viso teksto dokumentas (atviroji prieiga) / Full Text Document (Open Access)

DOI

10.5755/j01.eee.19.2.3473

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Informatikos inžinerija / Informatics engineering (T007)

Keywords (en)

Abstract (en)

Biometric authentication systems are steadily becoming a solution to wide number of authentication and identity management problems. Unique parts of human body that can be recognized and used as a mean to identify a person include fingerprints, iris, lips, etc. Though fingerprint and facial recognition systems are most widely used and developed, most of the systems and methods are slow or require expensive technical equipment. In this article genetic algorithm based palm recognition method is proposed, which does not require special equipment and can be used in systems where fast detection is needed. Method is compared to other existing methods. Method description, test results and evaluation are provided.