TELKOMNIKA Telecommunication, Computing, Electronics and Control
Towards better performance: phase congruency based face recognition

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Towards better performance: phase congruency based face recognition

Face recognition, Feature detection, Gradient, Orientation, Phase congruency

Phase congruency is an edge detector and measurement of the significant feature in the image. It is a robust method against contrast and illumination variation. In this paper, two novel techniques are introduced for developing a low-cost human identification system based on face recognition. Firstly, the valuable phase congruency features, the gradient-edges and their associated angles are utilized separately for classifying 130 subjects taken from three face databases with the motivation of eliminating the feature extraction phase. By doing this, the complexity can be significantly reduced. Secondly, the training process is modified when a new technique, called averaging-vectors is developed to accelerate the training process and minimizes the matching time to the lowest value. However, for more comparison and accurate valuation,
three competitive classifiers: Euclidean distance (ED), cosine distance (CD), and Manhattan distance (MD) are considered in this work. The system performance is very competitive and acceptable, where the experimental results show promising recognition rates with a reasonable matching time.

Muthana H. Hamd, Rabab A. Rasool

DOI: 10.12928/TELKOMNIKA.v18i6.17300

Universitas Ahmad Dahlan

October 2020

Sri Wahyuni

ISSN: 1693-6930

http://journal.uad.ac.id/index.php/TELKOMNIKA

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TELKOMNIKA Telecommunication, Computing, Electronics and Control