Open Access

A Novel Face Segmentation Algorithm from a Video Sequence for Real-Time Face Recognition

EURASIP Journal on Advances in Signal Processing20072007:051648

https://doi.org/10.1155/2007/51648

Received: 1 September 2006

Accepted: 14 April 2007

Published: 17 June 2007

Abstract

The first step in an automatic face recognition system is to localize the face region in a cluttered background and carefully segment the face from each frame of a video sequence. In this paper, we propose a fast and efficient algorithm for segmenting a face suitable for recognition from a video sequence. The cluttered background is first subtracted from each frame, in the foreground regions, a coarse face region is found using skin colour. Then using a dynamic template matching approach the face is efficiently segmented. The proposed algorithm is fast and suitable for real-time video sequence. The algorithm is invariant to large scale and pose variation. The segmented face is then handed over to a recognition algorithm based on principal component analysis and linear discriminant analysis. The online face detection, segmentation, and recognition algorithms take an average of 0.06 second on a 3.2 GHz P4 machine.

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Authors’ Affiliations

(1)
Department of Electronics and Communication, Siddaganga Institute of Technology
(2)
Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering

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Copyright

© R. Srikantaswamy and R. D. Sudhaker Samuel. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.