Random Forest and SVM Based Face Recognition Using Subspace Methods
作者: Amir AminiAli PourmohammadAli Asghar Khosravi
刊名: Information Systems and Signal Processing Journal, 2018, Vol.3 (1)
来源数据库: Clausius Scientific Press
DOI: 10.23977/isspj.2018.31002
关键词: Support Vector MachineRandom ForestSubspace MethodsPCALDA
原始语种摘要: Face recognition is one of the methods used to identifying the people. Due to its ease of use, this method has been used in recent decades. This method is more user friendly than other people identifying methods through iris, retina, fingerprint, etc. Because of the lack of cooperation of the person being examined, the face recognition method is more acceptable than others. In this paper, using one of the Subspace Methods as the face attribute extractor and applying its pre-processing technique as the initial stage of the face recognition system, has been investigated for increasing the face recognition rate, and extraction of a certain aspect of the face has led to improvement in the correctness of the diagnosis. The subspace algorithm, by highlighting the features needs to identify and...
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  • Recognition 识别
  • recognition 识别
  • SVM 共享虚拟存储器
  • processing 加工
  • highlighting 突出性
  • fingerprint 指纹
  • efficient 有用的
  • extracting 选取
  • machine 机器
  • features 特征