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- W1978185830 abstract "Hidden Markov Models(HMM) have been successfully used in speech recognition where data is essentially one-dimensional. An new approach is proposed. In this approach, Dauechies orthogonal wavelet transform is used to preprocess the original face image, resulting in its four sub-images belonging to different frequency bands, and the sub-images are used to learning and recognition based on HMM. A algorithm is designed to combine the multiple sort results, and the Karhunen Loeve Transform (KLT) was used to extract a set of observations that improving the method by Asmaria. This approach increases the ratio of recognition and reduces the time of computing. The experimentations prove the approach is rational." @default.
- W1978185830 created "2016-06-24" @default.
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- W1978185830 date "2010-03-01" @default.
- W1978185830 modified "2023-09-26" @default.
- W1978185830 title "The algorithm studies of Hidden Markov Model in face distinguishing" @default.
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- W1978185830 doi "https://doi.org/10.1109/car.2010.5456650" @default.
- W1978185830 hasPublicationYear "2010" @default.
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