Abstract
An efficient frequency domain face recognition under arbitrary image plane rotations by single correlation filtering approach is proposed where faces are registered with eye detection. Here eye detection problem is carried out using shift invariant property of correlation filter. The proposed eye detection method includes log-polar transformation, correlation and regression neural network estimation. Proposed system shows the recognition improvement comparing to straightforward correlation filtering and multi-correlation approach.
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Keywords
- Face Image
- Angular Position
- Generalize Regression Neural Network
- Generalize Regression Neural Network Model
- Correlation Plane
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References
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© 2013 Springer-Verlag Berlin Heidelberg
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Banerjee, P., Banerjee, P.K., Datta, A.K. (2013). Efficient Image Plane Rotation Invariant Frequency Domain Face Recognition Technique Using Eye Localization. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_47
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DOI: https://doi.org/10.1007/978-3-642-45062-4_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45061-7
Online ISBN: 978-3-642-45062-4
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