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Personal Authentication Using Multifeatures Multispectral Palm Print Traits
Joint Authors
Rajagopal, Gayathri
Manoharan, Senthil Kumar
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Biometrics authentication is an effective method for automatically recognizing a person’s identity with high confidence.
Multispectral palm print biometric system is relatively new biometric technology and is in the progression of being endlessly refined and developed.
Multispectral palm print biometric system is a promising biometric technology for use in various applications including banking solutions, access control, hospital, construction, and forensic applications.
This paper proposes a multispectral palm print recognition method with extraction of multiple features using kernel principal component analysis and modified finite radon transform.
Finally, the images are classified using Local Mean K-Nearest Centroid Neighbor algorithm.
The proposed method efficiently accommodates the rotational, potential deformations and translational changes by encoding the orientation conserving features.
The proposed system analyses the hand vascular authentication using two databases acquired with touch-based and contactless imaging setup collected from multispectral Poly U palm print database and CASIA database.
The experimental results clearly demonstrate that the proposed multispectral palm print authentication obtained better result compared to other methods discussed in the literature.
American Psychological Association (APA)
Rajagopal, Gayathri& Manoharan, Senthil Kumar. 2015. Personal Authentication Using Multifeatures Multispectral Palm Print Traits. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1079244
Modern Language Association (MLA)
Rajagopal, Gayathri& Manoharan, Senthil Kumar. Personal Authentication Using Multifeatures Multispectral Palm Print Traits. The Scientific World Journal No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1079244
American Medical Association (AMA)
Rajagopal, Gayathri& Manoharan, Senthil Kumar. Personal Authentication Using Multifeatures Multispectral Palm Print Traits. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1079244
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1079244