Abstract
Face recognition is the process of identifying a person by comparing his facial image with the existing image in a trained database. The crucial step in face recognition system is the extraction of facial feature. We propose an efficient facial feature representation by using Dual Tree Complex Wavelet Transform (DT-CWT). The Complex WT face characterizes the geometrical structure of facial images by using the properties of DT-CWT such as approximate shift in-variance and good directional selectivity. Since the efficiency retained with DT-CWT is inadequate, a new block design using Dual Tree Complex Wavelet Transform along with efficient normalization and noise reduction techniques is developed and using that design a face recognition system is developed.
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© 2014 Springer International Publishing Switzerland
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Srinivasan, A., Balamurugan, V. (2014). A Novel Approach for Facial Feature Extraction in Face Recognition. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II. Advances in Intelligent Systems and Computing, vol 249. Springer, Cham. https://doi.org/10.1007/978-3-319-03095-1_17
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DOI: https://doi.org/10.1007/978-3-319-03095-1_17
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03094-4
Online ISBN: 978-3-319-03095-1
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