Performance evaluation model for the face recognition system

Yong Nyuo Shin; Jason Kim; Yong Jun Lee; Woochang Shin; Jinyoung Choi

doi:10.1109/FBIT.2007.44

Performance evaluation model for the face recognition system

Yong Nyuo Shin, Jason Kim, Yong Jun Lee, Woochang Shin, Jinyoung Choi

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007
Pages	704-708
Number of pages	5
DOIs	https://doi.org/10.1109/FBIT.2007.44
Publication status	Published - 2007
Event	Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007 - Jeju Island, Korea, Republic of Duration: 2007 Oct 11 → 2007 Oct 13

Publication series

Name	Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007

Other

Other	Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007
Country/Territory	Korea, Republic of
City	Jeju Island
Period	07/10/11 → 07/10/13

ASJC Scopus subject areas

Computer Science Applications
Information Systems

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10.1109/FBIT.2007.44

Cite this

Shin, Y. N., Kim, J., Lee, Y. J., Shin, W., & Choi, J. (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). Article 4524191 (Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007). https://doi.org/10.1109/FBIT.2007.44

Performance evaluation model for the face recognition system. / Shin, Yong Nyuo; Kim, Jason; Lee, Yong Jun et al.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007. 2007. p. 704-708 4524191 (Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shin, YN, Kim, J, Lee, YJ, Shin, W & Choi, J 2007, Performance evaluation model for the face recognition system. in Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007., 4524191, Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007, pp. 704-708, Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007, Jeju Island, Korea, Republic of, 07/10/11. https://doi.org/10.1109/FBIT.2007.44

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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 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.

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Performance evaluation model for the face recognition system

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