MLP neural network using modified constructive training algorithm: Application to face recognition

Hayet Boughrara, Mohamed Chtourou, Chokri Ben Amar, Liming Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper focuses on the study of modified constructive training algorithm for Multi Layer Perceptron 'MLP' which is applied to face recognition applications. In general, constructive learning begins with a minimal structure, and increases the network by adding hidden neurons until a satisfactory solution is found. The contribution of this paper is to increment the output neurons simultaneously with incrementing the input patterns. In fact, the proposed algorithm started with a small number of output neurons and a single hidden-layer using an initial number of neurons. During neural network training, the hidden neurons number is increased while the Mean Square Error 'MSE' threshold of the Training Data 'TD' is not reduced to a predefined parameter. The output neurons number is increased as the input patterns are incrementally trained until all patterns of Training Data 'TD' are presented and learned. The proposed algorithm is applied in the classification stage in face recognition system. For the feature extraction stage, a biological vision-based facial description, namely Perceived Facial Images 'PFI' is applied to extract features from human face images. The proposed approach is tested on the Cohn-Kanade Facial Expression Database. Compared to the fixed 'MLP' architecture and the constructive training algorithm, experimental results clearly demonstrate the efficiency of the proposed algorithm.

Original languageEnglish
Title of host publicationInternational Image Processing, Applications and Systems Conference, IPAS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479970698
DOIs
StatePublished - 17 Feb 2014
Externally publishedYes
Event2014 1st International Image Processing, Applications and Systems Conference, IPAS 2014 - Hammamet, Tunisia
Duration: 5 Nov 20147 Nov 2014

Publication series

NameInternational Image Processing, Applications and Systems Conference, IPAS 2014

Conference

Conference2014 1st International Image Processing, Applications and Systems Conference, IPAS 2014
Country/TerritoryTunisia
CityHammamet
Period5/11/147/11/14

Keywords

  • Backpropagation
  • Constructive Training Algorithm
  • Face Recognition
  • Multi-Layer Perceptron
  • Neural network
  • PCA
  • Perceived Facial Image

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