|
Title:
|
FACE RECOGNITION: A ROBUST APPROACH |
|
Author(s):
|
Supreethi K.P, B Venkat Raman, Swathi Sowmya Bavirthi |
|
ISBN:
|
978-972-8939-98-4 |
|
Editors:
|
Piet Kommers, Tomayess Issa, Nurfadhlina Mohd Sharef and Pedro Isaías |
|
Year:
|
2013 |
|
Edition:
|
Single |
|
Keywords:
|
Face detection, face identification, verification, test image, training data set |
|
Type:
|
Poster/Demonstration |
|
First Page:
|
131 |
|
Last Page:
|
133 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Face recognition system has drawn attention due to the vast applicability in human-computer interaction and security systems. It has been a significant research area since a few decades. The process aims in giving the identity of a human face for a given image. This can be further applied to identify human faces in video streams also. Designing a face recognition system involves knowledge in the fields of computer vision, pattern recognition, image processing, neuroscience, psychology and machine intelligence. However, faces with different illumination, expression, RST (Rotation, Scale, and Translation) invariance, and pose may be challenging factors for the system. Such factors may also be referred to as uncontrolled environments. The primary design issues for such a system include the execution speed, the size, type of training dataset and reliability of the system under uncontrolled environment. Several algorithms have been implemented for different features of face viz., nose, face, eyes which will work together for recognizing the image. |
|
|
|
|
|
|
