Computer Science ›› 2014, Vol. 41 ›› Issue (9): 301-305.doi: 10.11896/j.issn.1002-137X.2014.09.058

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3D Palmprint Recognition Based on Guided Filter and Cross-correlation of Binary Image Groups

LIU Ming,LI Li-hua and LI Zhe   

  • Online:2018-11-14 Published:2018-11-14

Abstract: A robust personal recognition method was proposed based on the 3D palmprint in this paper.In the stage of feature extraction,guided filter is used to remove the noise in the image.Then robust orientation features,namely a group binary images,are extracted based on Gabor transformation.In the stage of matching,the matching score is calculated based on the cross-correlation of binary image groups.The algorithm can make full use of the information in the image groups to obtain the accurate matching score.Experimental results on the HK-Poly 2D+3D palmprint database demonstrate that the proposed approach can improve the performance of the 3D palmprint verification system.

Key words: Biometrics identification,3D palmprint recognition,Guided filter

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