Feature based optimal trade-off parameter selection of frequency domain correlation filter for real time face authentication
Pages 295 - 300
Abstract
A real time fully automatic face recognition method is reported in this paper, where a frequency domain correlation filter known as optimal trade off maximum average correlation height filter (OTMACH) is optimized for real time application. The modification is done in selecting the optimal parameters for filter based on feature selection of face images by principal component analysis. The features are then used to train generalized regression neural network. The test face image is captured by a webcam camera interfaced with a PC and the recognition result is demonstrated by go-no go signals. The OTMACH filter as modified, gives better recognition rate compared to others conventional correlation filters. The system accepts reasonable variations in expression, pose and illumination conditions of face images.
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Index Terms
- Feature based optimal trade-off parameter selection of frequency domain correlation filter for real time face authentication
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Published In
February 2011
656 pages
ISBN:9781450304641
DOI:10.1145/1947940
- General Chairs:
- Sanjay Kumar Jena,
- Rajeev Kumar,
- Program Chairs:
- Ashok Kumar Turuk,
- Manoranjan Dash
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Published: 12 February 2011
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ICCCS '11
ICCCS '11: International Conference on Communication, Computing & Security
February 12 - 14, 2011
Odisha, Rourkela, India
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