Advanced Topics In Biometrics - download pdf or read online

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By Haizhou Li, Kar-Ann Toh, Liyuan Li

ISBN-10: 9814287849

ISBN-13: 9789814287845

Biometrics is the learn of tools for uniquely spotting people in response to a number of intrinsic actual or behavioral characteristics. After a long time of study actions, biometrics, as a famous clinical self-discipline, has complex significantly either in sensible expertise and theoretical discovery to fulfill the expanding desire of biometric deployments. during this ebook, the editors supply either a concise and obtainable advent to the sphere in addition to an in depth assurance at the precise examine issues of their strategies in a large spectrum of biometrics study starting from voice, face, fingerprint, iris, handwriting, human habit to multimodal biometrics. The contributions additionally current the pioneering efforts and state of the art effects, with specific specialise in functional concerns bearing on approach improvement. This ebook is a helpful reference for verified researchers and it additionally supplies a great creation for newcomers to appreciate the demanding situations.

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Audio, Speech, and Language Processing 15, 7, 1969–1978, 2007. Che, C. , and Yuk, D. S. An HMM approach to text-prompted speaker verification, in Proc. ICASSP, pp. 673–676, 1996. Davis, S. and Mermelstein, P. Comparison of parametric representation for monosyllabic word recognition in continuous spoken sentence, IEEE Trans. Acoustic and Speech Signal Processing 28, 357–366, 1980. , and Neumeyer, L. G. Speaker adaptation using constrained estimation of Gaussian mixtures, IEEE Trans. Speech and Audio Processing 3, 5, 357–366, 1995.

2006b), can be formed as shown in Fig. 4. With two speech utterances, a and b, two GMMs can be trained using MAP adaptation to obtain two sets of mean vectors, µa = {µa1 , µa2 , . . , µaM } and µb = {µb1 , µb2 , . . , µbM }. 20) As a linear transform is applied on the GMM supervectors, we call this kernel a linear kernel. , 2009) which shows improved performance. 5in Advanced Topics in Biometrics b1057-ch01 B. Ma and H. , 1995) are the two widely used techniques for speaker adaptation in larger vocabulary continuous speech recognition (LVCSR) systems.

3% minDCF reduction over the best individual classifier was achieved by the fusion system. 5 1 2 5 10 20 40 False Alarm probability (in %) Fig. 5. DET curves of individual classifiers and the fused system on the SRE08 telephonetelephone condition. 5in Advanced Topics in Biometrics b1057-ch01 B. Ma and H. 30% Improvement — advancement of many new techniques around GMMs and SVMs. The recent progress features the use of high-dimensional feature vectors, which are also called supervectors (Kinnunen and Li, 2010).

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Advanced Topics In Biometrics by Haizhou Li, Kar-Ann Toh, Liyuan Li

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