Title:
HUMAN FACE RECOGNITION METHOD AND APPARATUS
Document Type and Number:
WIPO Patent Application WO/2017/070923
Kind Code:
A1
Abstract:
A human face recognition method and apparatus for solving the technical problem that the robustness of existing human face recognition techniques is not good enough. The method comprises: pre-processing a human face image by means of linear spatial filtering; performing direction encoding on the pre-processed human face image, and generating a gradient direction vector f, wherein a direction partition index of the gradient direction vector f is: dindex = θ × bin/2π, and a direction weight is: wei ＝ (1 + index - dindex)3, where θ is the gradient direction, bin is the number of direction partitions, and index is an integer obtained after dindex is rounded off; extracting gradient local auto-correlation (glac) features according to the gradient direction vector; and utilizing a chi-squared test to calculate a distance between glac features to be matched, and recognizing the similarity.
Inventors:
YANG QI (CN)
CHEN SHUKAI (CN)
CHEN SHUKAI (CN)
Application Number:
PCT/CN2015/093340
Publication Date:
May 04, 2017
Filing Date:
October 30, 2015
Export Citation:
Assignee:
XIAMEN ZKTECO BIOMETRIC IDENTIFICATION TECH CO LTD (CN)
International Classes:
G06K9/00
Foreign References:
| CN103106645A | 2013-05-15 | |||
| CN101354254A | 2009-01-28 | |||
| CN101833647A | 2010-09-15 | |||
| CN103761507A | 2014-04-30 | |||
| CN102298779A | 2011-12-28 | |||
| US20100142819A1 | 2010-06-10 |
Attorney, Agent or Firm:
UNITALEN ATTORNEYS AT LAW (CN)
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