Optimized periocular template selection for human recognition.
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 b...
| Publicado en: | BioMed Research International Vol. 2013; pp. 481431 - 481432 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104090772&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104090772 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2013 vid: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104090772 104090772 2012240549 NLM23984370 PMC3747475 104090772 ppf: 481431 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Optimized periocular template selection for human recognition. aug: au: Bakshi, Sambit Sa, Pankaj K Majhi, Banshidhar affil: Department of Computer Science and Engineering, National Institute of Technology Rourkela, Odisha 769008, India. sug: subj: Biometrics Methods Eye Anatomy and Histology Anthropometry Data Collection Databases Face Human Image Processing, Computer Assisted Radiation, Non-Ionizing Judgment ROC Curve Sclera Anatomy and Histology Skin Anatomy and Histology ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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