Formal implementation of a performance evaluation model for the face recognition system

Yong Nyuo Shin, Jason Kim, Yong Jun Lee, Woochang Shin, Jin Young Choi

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Article number742504
JournalJournal of Biomedicine and Biotechnology
Issue number1
Publication statusPublished - 2008

ASJC Scopus subject areas

  • Biotechnology
  • Molecular Medicine
  • Molecular Biology
  • Genetics
  • Health, Toxicology and Mutagenesis


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