1 publication

• Published Subscription 11 Aug 2015

  Improved Face Recognition Rate Based on PCA and LDA Using Image Preprocessing Techniques

  By Joshi J.Ch, Gupta K.K.

  Abstract: Principal component analysis (PCA) and linear discriminant analysis (LDA) are two powerful tools utilized for dimensionality reduction and feature extraction in most of pattern recognition applications. PCA selects features important for class representation while LDA algorithm selects features that are most effective for class separability. This paper carries out a comparative study of the two important algorithms in the context of enhancement obtained using certain image preprocessing techniques. The implementation …

  Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 2, 2015 · pp. 19–24 Read article →