Formal implementation of a performance evaluation model for the face recognition system.
Due to usability features, practical applications, and its lack of intrusiveness, face recognition technology, based on information, derived from individuals' facial features, has been attracting considerable attention recently. Reported recognition rates of commercialized face recognition systems c...
| Publicado en: | Journal of Biomedicine & Biotechnology pp. 10p - 11 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2008 Regular issue
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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=105557238&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105557238 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11107243 137K jtl: Journal of Biomedicine & Biotechnology issn: 11107243 maglogo: N pubinfo: dt: 2008 Regular issue pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105557238 105557238 2010050595 NLM18317524 105557238 ppf: 10p ppct: 1 formats: fmt: @attributes: type: P tig: atl: Formal implementation of a performance evaluation model for the face recognition system. aug: au: Shin Y Kim J Lee Y Shin W Choi J affil: Korea Information Security Agency, 78 Karak-dong, Songpa-gu, Seoul 138-160, South Korea; ynshin@kisa.or.kr sug: subj: Biometrics Methods Face Anatomy and Histology Image Interpretation, Computer Assisted Methods Information Science Methods Subtraction Technique Evaluation Research Reproducibility of Results Sensitivity and Specificity Human ab: Due to usability features, practical applications, and its lack of intrusiveness, face recognition technology, based on information, derived from individuals' facial features, has been attracting considerable attention recently. Reported recognition rates of commercialized face recognition systems cannot be admitted as official recognition rates, as they are based on assumptions that are beneficial to the specific system and face database. Therefore, performance evaluation methods and tools are necessary to objectively measure the accuracy and performance of any face recognition system. In this paper, we propose and formalize a performance evaluation model for the biometric recognition system, implementing an evaluation tool for face recognition systems based on the proposed model. Furthermore, we performed evaluations objectively by providing guidelines for the design and implementation of a performance evaluation system, formalizing the performance test process. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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