A feature extraction method for personal identification system

Hironori Takimoto, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

研究成果: Conference article査読


Recently in the world, many researches for individual identification method using biometrics are widely done. Especially, personal identification using faces are used because of needless for physical contact. However, when the number of registrant of a system increase, the recognition accuracy of system will get worse certainly. Therefore, in order to improve the recognition accuracy, it is necessary to extract the feature area effectively for getting the high recognition accuracy. In this paper, we analyze and examine about the individual feature in a face using the GA and the SPCA. Thus, by removing the area which is not valuable, we think that recognition accuracy becomes high. Then, in order to show the effectiveness of the proposed method, we show computer simulations by using real image.

ジャーナルLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2773 PART 1
出版ステータスPublished - 2003 1月 1
イベント7th International Conference, KES 2003 - Oxford, United Kingdom
継続期間: 2003 9月 32003 9月 5

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)


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