Abstract
The paper proposes a face detection system that locates and extracts faces from the background using the multilayer feedforward perceptron. Facial features are extracted from the local image using filters. In this approach, feature vector from Gabor filter acts as an input for the multilayer feedforward perceptron. The points holding high information on face image are used for extraction of feature vectors. Since Gabor filter extracts features from varying scales and orientations, the feature points are extracted with high accuracy. Experimental results show the multilayer feedforward perceptron discriminates and detects faces from non-face patterns irrespective of the illumination changes.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Osuna E, Freund R, Girosi F (1997) Training support vector machines: an application to face detection. Computer vision and pattern recognition, 1997. In: Proceedings, 1997 IEEE computer society conference on. IEEE
Huang J, Gutta S, Wechsler H (1996) Detection of human faces using decision trees. In: Proceedings of the second international conference on automatic face and gesture recognition. IEEE
http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html
Wang X-Y et al (2013) Robust color image retrieval using visual interest point feature of significant bit-planes. Digital Signal Process 23(4):1136–1153
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this paper
Cite this paper
Gautam, K.S., Senthil Kumar, T. (2016). Discrimination and Detection of Face and Non-face Using Multilayer Feedforward Perceptron. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 397. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2671-0_9
Download citation
DOI: https://doi.org/10.1007/978-81-322-2671-0_9
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2669-7
Online ISBN: 978-81-322-2671-0
eBook Packages: EngineeringEngineering (R0)