Finger-Knuckle Print Recognition Using Gradient Orientation Feature

그레이디언트 방향 특징을 이용한 손가락 관절문 인식

  • 김민기 (경상대학교 컴퓨터과학과/컴퓨터정보통신연구소)
  • Received : 2012.09.25
  • Accepted : 2012.11.01
  • Published : 2012.12.28


Biometrics is a study of identifying individual by using the features of human body. It has been studied for an alternative or complementary method for the classical method based on password, ID card, etc. In comparison with the fingerprint, iris, ear, palmprint, finger-knuckle print has been recently studied. This paper proposes an effective method for recognizing finger-knuckle print based on the feature of Gradient orientation. The main features of finger-knuckle print are the size and direction of winkles. In order to extract these features stably, we make a feature vector consisted of Gradient orientations after the preprocessing of enhancing non-uniform brightness and low contrast. Total 790 images acquired from 158 persons have been used at the experiment for evaluating the performance of the proposed method. The experimental results show the recognition rate of 99.69% and the relatively high decidability index of 1.882. These results demonstrate that the proposed method is effective in recognizing finger-knuckle print.


Biometrics;Finger-Knuckle Print;Gradient Orientation


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