Phase Space Parameters for Neural Network Based Vowel Recognition

Prajith, P.; Sreekanth, N.; Narayanan, N. K.

doi:10.1007/978-3-540-30499-9_187

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“…The characterizations of speech and image signals as nonlinear chaotic system are also present in literatures. 24,25,26 Modeling of faces as nonlinear chaotic system using state space pixel distribution is a relatively new signal analysis method. Results of preliminary attempt by the authors in face recognition have already been reported in Ref.…”

Section: Introductionmentioning

confidence: 99%

Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network

Narayanan¹,

Kabeer²

2010

IJCIS

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The paper reports a study of nonlinear nature of face image. A novel feature extraction method using state space feature parameter for the recognition of face images is studied. The results of simulation experiments performed on the standard AT & T face database using both Artificial Neural Network and K-Nearest Neighbour recognition algorithms based on Nonlinear Feature Parameter (NLFP) is also presented. Overall recognition accuracy obtained is better for ANN algorithm and is 98.5%.

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Section: Introductionmentioning

confidence: 99%