Framework of Human Identification using Multi-Modal Biometrics

نویسندگان

  • Min-Gu Kim
  • Hae-Min Moon
  • Sung Bum Pan
چکیده

Biometrics has been used to verify intrusion and identification of intruder in video surveillance system. Biometrics was divided into traditional biometrics and soft biometrics. Traditional biometrics is a method using information on face, iris, and fingerprint. Soft biometrics is a method using information on gender, ethnicity, and height. Recently, many researchers have been researched human identification using soft biometrics in long distance environment. In this paper, we analyze a human identification with applying traditional biometrics or soft biometrics suitable for video surveillance system. Also, we propose a framework to solve problems such as lighting, occlusion, and shadow.

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تاریخ انتشار 2012