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http://dx.doi.org/10.9723/jksiis.2017.22.6.039

Face Recognition Method Based on Local Binary Pattern using Depth Images  

Kwon, Soon Kak (동의대학교 컴퓨터소프트웨어공학과)
Kim, Heung Jun (동의대학교 컴퓨터소프트웨어공학과)
Lee, Dong Seok (동의대학교 컴퓨터소프트웨어공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.22, no.6, 2017 , pp. 39-45 More about this Journal
Abstract
Conventional Color-Based Face Recognition Methods are Sensitive to Illumination Changes, and there are the Possibilities of Forgery and Falsification so that it is Difficult to Apply to Various Industrial Fields. In This Paper, we propose a Face Recognition Method Based on LBP(Local Binary Pattern) using the Depth Images to Solve This Problem. Face Detection Method Using Depth Information and Feature Extraction and Matching Methods for Face Recognition are implemented, the Simulation Results show the Recognition Performance of the Proposed Method.
Keywords
Depth Camera; Depth Image; Face Recognition; Face Detection; Local Binary Pattern;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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