International Journal of Computer
Trends and Technology

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Volume 4 | Issue 5 | Year 2013 | Article Id. IJCTT-V4I5P41 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I5P41

Methodological approach for Face Recognition Using Artificial Neural Networks

K. Shirisha, S. Vijaya Lakshmi, N. Musrat Sultana

Citation :

K. Shirisha, S. Vijaya Lakshmi, N. Musrat Sultana, "Methodological approach for Face Recognition Using Artificial Neural Networks," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 5, pp. 1164-1170, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I5P41

Abstract

Automatic Facial Feature Detection is becoming a very important task in applications such as Model Based Video coding, Facial Image Animation, Face Recognition, Facial Emotion Recognition, Intelligent Human Computer Interaction. Most of the approaches for facial feature detection have been proposed which use independent facial feature detectors relying on hand designed filters that aim at segmenting using image properties such as edges, intensity, color, motion. In this paper, A Hierarchical neural based facial feature detection scheme is proposed for robustly and automatically detect a set of user-selected facial features in images that is designed to precisely locate fine features in faces of variable size and appearance.. The proposed system comprises two successive stages: Generalized Rapid Transformation (GRT) and Normalization.

Keywords

Face Recognition, Facial Feature Detection, Face Detection, Coarse Feature Detection, Fine Feature Detection.

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