FACE RECOGNITION USING FUZZY INFERENCE SYSTEM
Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (Vol.8, No. 3)Publication Date: 2013-01-31
Authors : Vishal Paika; Er. Pankaj Bhambri;
Page : 887-897
Keywords : Image processing; edge detection; feature extraction and normalization and artificial neural networks;
Abstract
The face is the feature which distinguishes a person. Facial appearance is vital for human recognition. It has certain features like forehead, skin, eyes, ears, nose, cheeks, mouth, lip, teeth etc which helps us, humans, to recognize a particular face from millions of faces even after a large span of time and despite large changes in their appearance due to ageing, expression, viewing conditions and distractions such as disfigurement of face, scars, beard or hair style. A face is not merely a set of facial features but is rather but is rather something meaningful in its form.In this paper, depending on the various facial features, a system is designed to recognize them. To reveal the outline of the face, eyes, ears, nose, teeth etc different edge detection techniques have been used. These features are extracted in the term of distance between important feature points. The feature set obtained is then normalized and are feed to artificial neural networks so as to train them for reorganization of facial images.
Other Latest Articles
- Comparative Performance Analysis of Different Routing Protocols in Wireless Ad-hoc networks (IEEE 802.11)
- Outlier Analysis of Categorical Data Using Infrequency
- Performance Comparison of AODV, OLSR and ZRP Protocol in MANET using Grid Topology through QualNet Simulator
- Investigations on Bit error rate performance of DWDM Free space optics system using Semiconductor Optical Amplifier in Rain Environment
- A Review of Cluster Oriented Ensemble Classifier for Improving Performance of Stream Data Classification
Last modified: 2016-06-29 19:15:46