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Optimized periocular template selection for human recognition.

Abstract：

: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.

journal_name

Biomed Res Int

journal_title

BioMed research international

authors

Bakshi S,Sa PK,Majhi B

doi

10.1155/2013/481431

subject

Has Abstract

pub_date

2013-01-01 00:00:00

pages

481431

eissn

2314-6133

issn

2314-6141

journal_volume

2013

pub_type

杂志文章

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