Optimized Periocular Template Selection for Human Recognition
Joint Authors
Bakshi, Sambit
Sa, Pankaj K.
Majhi, Banshidhar
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-31
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
A novel approach for selecting a rectangular template around periocular region optimally potential for human recognition is proposed.
A comparatively larger template of periocular image than the optimal one can be slightly more potent for recognition, but the larger template heavily slows down the biometric system by making feature extraction computationally intensive and increasing the database size.
A smaller template, on the contrary, cannot yield desirable recognition though the smaller template performs faster due to low computation for feature extraction.
These two contradictory objectives (namely, (a) to minimize the size of periocular template and (b) to maximize the recognition through the template) are aimed to be optimized through the proposed research.
This paper proposes four different approaches for dynamic optimal template selection from periocular region.
The proposed methods are tested on publicly available unconstrained UBIRISv2 and FERET databases and satisfactory results have been achieved.
Thus obtained template can be used for recognition of individuals in an organization and can be generalized to recognize every citizen of a nation.
American Psychological Association (APA)
Bakshi, Sambit& Sa, Pankaj K.& Majhi, Banshidhar. 2013. Optimized Periocular Template Selection for Human Recognition. BioMed Research International،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1004415
Modern Language Association (MLA)
Bakshi, Sambit…[et al.]. Optimized Periocular Template Selection for Human Recognition. BioMed Research International No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-1004415
American Medical Association (AMA)
Bakshi, Sambit& Sa, Pankaj K.& Majhi, Banshidhar. Optimized Periocular Template Selection for Human Recognition. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1004415
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1004415