A feature extraction method in face image for personal identification

Hironori Takimoto; Yasue Mitsukura; Minoru Fukumi; Norio Akamatsu; Rajiv Khosla

doi:10.1109/CIRA.2003.1222147

A feature extraction method in face image for personal identification

Hironori Takimoto, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu, Rajiv Khosla

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

Abstract

Recently in the world, many researches of personal identification method using biometrics are widely done. Especially, personal identification using the face is used because of needless for physical contact. In this paper, we propose the new method to identify the personal using the SPCA and the NN. The SPCA has been proposed in order for the PCS to achieve high-speed processing. Moreover, the personal identification system needs to have not only ability to recognize registrant correctly but also ability to reject un-registrant certainly. Therefore, we perform simulation using un-registrant. Furthermore, we analyzed and examined about the individual feature in a face by using the GA and the SPCA. Then, in order to show the effectiveness of the proposed method, we show computer simulations by suing the real image. From these results, we show the effectiveness.

Original language	English
Title of host publication	Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1081-1084
Number of pages	4
Volume	3
ISBN (Print)	0780378660
DOIs	https://doi.org/10.1109/CIRA.2003.1222147
Publication status	Published - 2003
Externally published	Yes
Event	2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, Japan Duration: 2003 Jul 16 → 2003 Jul 20

Other

Other	2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
Country/Territory	Japan
City	Kobe
Period	03/7/16 → 03/7/20

ASJC Scopus subject areas

Computational Mathematics

Access to Document

10.1109/CIRA.2003.1222147

Cite this

Takimoto, H., Mitsukura, Y., Fukumi, M., Akamatsu, N., & Khosla, R. (2003). A feature extraction method in face image for personal identification. In Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA (Vol. 3, pp. 1081-1084). [1222147] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIRA.2003.1222147

A feature extraction method in face image for personal identification. / Takimoto, Hironori; Mitsukura, Yasue; Fukumi, Minoru et al.
Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA. Vol. 3 Institute of Electrical and Electronics Engineers Inc., 2003. p. 1081-1084 1222147.

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

Takimoto, H, Mitsukura, Y, Fukumi, M, Akamatsu, N & Khosla, R 2003, A feature extraction method in face image for personal identification. in Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA. vol. 3, 1222147, Institute of Electrical and Electronics Engineers Inc., pp. 1081-1084, 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003, Kobe, Japan, 03/7/16. https://doi.org/10.1109/CIRA.2003.1222147

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abstract = "Recently in the world, many researches of personal identification method using biometrics are widely done. Especially, personal identification using the face is used because of needless for physical contact. In this paper, we propose the new method to identify the personal using the SPCA and the NN. The SPCA has been proposed in order for the PCS to achieve high-speed processing. Moreover, the personal identification system needs to have not only ability to recognize registrant correctly but also ability to reject un-registrant certainly. Therefore, we perform simulation using un-registrant. Furthermore, we analyzed and examined about the individual feature in a face by using the GA and the SPCA. Then, in order to show the effectiveness of the proposed method, we show computer simulations by suing the real image. From these results, we show the effectiveness.",

author = "Hironori Takimoto and Yasue Mitsukura and Minoru Fukumi and Norio Akamatsu and Rajiv Khosla",

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N2 - Recently in the world, many researches of personal identification method using biometrics are widely done. Especially, personal identification using the face is used because of needless for physical contact. In this paper, we propose the new method to identify the personal using the SPCA and the NN. The SPCA has been proposed in order for the PCS to achieve high-speed processing. Moreover, the personal identification system needs to have not only ability to recognize registrant correctly but also ability to reject un-registrant certainly. Therefore, we perform simulation using un-registrant. Furthermore, we analyzed and examined about the individual feature in a face by using the GA and the SPCA. Then, in order to show the effectiveness of the proposed method, we show computer simulations by suing the real image. From these results, we show the effectiveness.

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A feature extraction method in face image for personal identification

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