The Human Identification System Using Multiple Geometrical Feature Extraction of Ear –An Innovative Approach

نویسندگان

  • Jitendra B. Jawale
  • Anjali S. Bhalchandra
چکیده

— In this paper multiple geometrical feature extraction (such as shape, Euclidian distances of side of a triangle and angles of a triangle as a feature vector) of ear based method to identify a person using ear biometrics has been proposed. The human ear is a perfect source of data for passive person identification in many applications. In a growing need for security in various public places, ear biometrics seems to be a good solution, since ears are visible and their images can be easily taken, even without the examined person’s knowledge It has been seen that finding two ears which are completely identical is almost impossible and ear does not change much with time, Moreover, ear satisfies all the properties that should be possessed by a biometric. Keywords—— Ear biometrics, multiple geometrical feature, feature extraction of ear , passive person identification .

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تاریخ انتشار 2012