Face Recognition using Genetic Algorithm with Self-Organizing Mapping based Dimensionality Reduction Technique

Authors

  • Md. Rabiul Islam Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh

DOI:

https://doi.org/10.37591/jomtra.v2i1.355

Abstract

The contribution of this work is to develop a face recognition technique where Genetic Algorithm has been used. Here facial features are extracted using Active Appearance Model (AAM) and Kohonen Self-Organizing Mapping (SOM) technique has applied to reduce the dimension of the extracted features. Efficient image pre-processing techniques are used to prepare the face for the proposed system. Finally, Genetic Algorithm has been used to classify the facial features. In GA, various operators have been applied to optimize the performance of the proposed face recognition system. Valid standard dataset has been used to measure the performance of the proposed system. Experimental results and performance analysis shows the superiority of the proposed system in various dimensions.

Keywords: Face recognition, person identification system, kohonen self-organizing mapping technique, active appearance model, genetic algorithm

Cite this Article:

Rabiul Islam. Face recognition Using Genetic Algorithm with Self-Organizing Mapping Based Dimensionality Reduction Technique. Journal of Multimedia Technology & Recent Advancements. 2015; 2(1): 22–26p.

References

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Published

2015-04-06

Issue

Vol. 2 No. 1 (2015)

Section

Research Articles

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