Face identification method using the face shape

Hironori Takimoto, Yasue Mitsukura, Norio Akamatsu, Rajiv Khosla

Research output: Contribution to journalConference articlepeer-review


Personal identification provides are important means for realizing a man-machine interface and security products. Recently in the world, many researches for individual identification method using the face are widely done. In the personal identification methods using the face, the feature points method and the pattern matching method are general technology. However, condition of lighting affects recognition accuracy in many cases. In this paper, we propose the face identification method which is robust for lighting based on the feature points method. The proposed method extracts the edge of facial features. Then, it determine oval parameters of each feature from the extracted edge by hough transform. Moreover, in order to show the effectiveness of the proposed method, we show computer simulations by using real images. From these results, we show the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)1157-1161
Number of pages5
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume2773 PART 1
Publication statusPublished - 2003 Dec 1
Externally publishedYes
Event7th International Conference, KES 2003 - Oxford, United Kingdom
Duration: 2003 Sept 32003 Sept 5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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