Performance evaluation model for the face recognition system

YongNyuo Shin, Jason Kim, YongJun Lee, Woochang Shin, Jin Young Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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 a performance evaluation model for biometric recognition evaluation tools, 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
Title of host publicationProceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007
Pages704-708
Number of pages5
DOIs
Publication statusPublished - 2007 Dec 1
EventFrontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007 - Jeju Island, Korea, Republic of
Duration: 2007 Oct 112007 Oct 13

Other

OtherFrontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007
CountryKorea, Republic of
CityJeju Island
Period07/10/1107/10/13

    Fingerprint

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Cite this

Shin, Y., Kim, J., Lee, Y., Shin, W., & Choi, J. Y. (2007). Performance evaluation model for the face recognition system. In Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007 (pp. 704-708). [4524191] https://doi.org/10.1109/FBIT.2007.44