Image Based Face Detection Using Probabilistic Neural Network

Abstract

This paper presents an image based face detection using probabilistic neural network. The purpose is to localize and extract the face region from the background that will be fed into the face recognition system for identification. General preprocessing approach was used for normalizing the image and a Probabilistic Neural Network (PNN) was used to distinguish between face and non-face images. Probabilistic neural networks can be used for classification problems. The performance of the PNN face detection system will be based on the detection rate, False Acceptance Rate (FAR) and the False Rejection Rate (FRR) criteria.

Authors and Affiliations

K. A. A. Aziz, N. M. Z. Hashim, W. N. A. W. Mazlan

Keywords

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  • EP ID EP18568
  • DOI -
  • Views 445
  • Downloads 21

How To Cite

K. A. A. Aziz, N. M. Z. Hashim, W. N. A. W. Mazlan (2014). Image Based Face Detection Using Probabilistic Neural Network. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(8), -. https://europub.co.uk/articles/-A-18568