An Advanced Approach of Face Alignment for Gender Recognition Using PCA

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 236)


In this paper we have used principal component analysis (PCA) tool by adding mathematical rigor to provide explicit solution for gender recognition by extracting feature vector. We will implement face recognition system using PCA algorithm along with the application of kernel support vector machine for error minimization. In addition by using face-rec database. This is an Eigen face approach motivated by information theory using an images database of 545 images of male and female for improved efficiency. sometimes PCA mixes data points which lead to classification error. We are improving principal component analysis (PCA) by taking vector corresponding to \(k\) minimum error unlike conventional PCA.


Gender Recognition Principal component analysis Eigen faces SVM Euclidian distance 


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Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Government Engineering College AjmerAjmerIndia
  2. 2.IIIT AllahabadAllahabadIndia

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