吉林大学学报(工学版) ›› 2010, Vol. 40 ›› Issue (06): 1678-1682.

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Preprocessing method for iris classification and rotation correction based on corner characteristics

LIU Jing1,BAI Tao2,KANG Hui2   

  1. 1.College of Mathematics,Jilin University,Changchun 130012,China;2.College of Computer Science and Technology,Jilin University,Changchun 130012,China
  • Received:2009-06-30 Online:2010-11-01 Published:2010-11-01

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Abstract:

An iris preprocessing method was proposed based on corner characteristics. Using the information of corner and grayscale in the corner neighborhood region, the type of relationship between the template image and identifying image is determined through the corresponding affine and similarity calculation. The method solves the problem of removing rotation (maintaining rotation invariance) in the division of the iris sample set and fine recognition. Experimental results indicate that the proposed method has good classification performance and rapid recognition speed. It can be taken as the initial preprocessing operation for reducing the search size and removing the rotation in the normalized phase.

Key words: computer application, corner, classification, rough match, remove rotation

CLC Number: 

  • TP393
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