A feature extraction method in face image for personal identification

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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1081-1084
ページ数4
3
ISBN(印刷版)0780378660
DOI
出版ステータスPublished - 2003
外部発表はい
イベント2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, Japan
継続期間: 2003 7月 162003 7月 20

Other

Other2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
国/地域Japan
CityKobe
Period03/7/1603/7/20

ASJC Scopus subject areas

  • 計算数学

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