A Novel Face Segmentation Algorithm from a Video Sequence for Real-Time Face Recognition. (17th June 2007)

• Record Type: Journal Article
• Authors: Srikantaswamy Srikantaswamy, R. R.; Sudhaker Samuel Sudhaker Samuel, R. D. R. D.
• Other Names: Izquierdo Izquierdo Ebroul Ebroul Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2007(2007)
• Publication Date: 2007-06-17
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2007/51648
• Languages: English
• ISSNs: 1687-6172

Abstract

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.