DWT based HMM for face recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11767-007-0028-x.pdf
Reference5 articles.
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2. A. Nefian and M. Hayes. An embedded HMM-based approach for face detection and recognition. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Phoenix, AZ, 1999, 3553–3556.
3. I. Daubechies. The wavelet transform, time-frequency localization and signal analysis. IEEE Trans. on Information Theory, 36(1990)5, 961–1005.
4. L. R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. of IEEE, 77(1989)2, 257–286.
5. P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss. The FERET evaluation methodology for face-recognition algorithms. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(2000)10, 1090–1104.
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