By Haizhou Li, Kar-Ann Toh, Liyuan Li
Biometrics is the examine of tools for uniquely spotting people in response to a number of intrinsic actual or behavioral features. After a long time of study actions, biometrics, as a famous clinical self-discipline, has complicated significantly either in useful expertise and theoretical discovery to satisfy the expanding desire of biometric deployments. during this ebook, the editors supply either a concise and available advent to the sphere in addition to a close insurance at the distinctive examine issues of their ideas in a large spectrum of biometrics learn starting from voice, face, fingerprint, iris, handwriting, human habit to multimodal biometrics. The contributions additionally current the pioneering efforts and cutting-edge effects, with specified concentrate on useful matters touching on method improvement. This booklet is a worthy reference for proven researchers and it additionally offers a superb advent for newbies to appreciate the demanding situations.
Read or Download Advanced Topics In Biometrics PDF
Similar artificial intelligence books
In line with the legislations of increasing returns, explains futurist Kurzweil (The Age of clever Machines), technological profits are made at an exponential expense. In his utopian imaginative and prescient of the twenty first century, our lives will swap now not simply incrementally yet essentially. the writer is the inventor of analyzing and speech-recognition machines, between different applied sciences, yet he isn't a lot of a author.
Describing non-parametric and parametric theoretic category and the learning of discriminant services, this moment version contains new and accelerated sections on neural networks, Fisher's discriminant, wavelet rework, and the tactic of valuable parts. It comprises discussions on dimensionality aid and have choice, novel machine procedure architectures, confirmed algorithms for ideas to universal roadblocks in information processing, computing versions together with the Hamming internet, the Kohonen self-organizing map, and the Hopfield web, particular appendices with facts units illustrating key thoughts within the textual content, and extra.
Caleb, a 24 yr previous coder on the world's biggest net corporation, wins a contest to spend every week at a personal mountain retreat belonging to Nathan, the reclusive CEO of the corporate.
But whilst Caleb arrives on the distant situation he reveals that he'll need to perform a wierd and interesting test within which he needs to have interaction with the world's first actual synthetic intelligence, housed within the physique of an attractive robotic woman.
EX MACHINA is an severe mental mystery, performed out in a love triangle. It explores substantial rules concerning the nature of attention, emotion, sexuality, fact and lies.
Extra resources for Advanced Topics In Biometrics
Speaker adaptation using constrained estimation of Gaussian mixtures, IEEE Trans. Speech and Audio Processing 3, 5, 357–366, 1995. Doddington, G. Speaker recognition based on idiolectal diﬀerences between speakers, in Proc. Eurospeech, pp. 2521–2524, 2001. , and Rubin, D. Maximum likelihood from incomplete data via the EM algorithm, J. Royal Statistical Soc. 39, 1–38, 1977. , Leung, C. -L. Constrained MLLR for speaker recognition, in Proc. ICASSP, pp. 4:53–56, 2007. Gales, M. J. F. and Woodland, P.
Compensation of nuisance factors for speaker and language recognition, IEEE Trans. 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.
1897–1900, 2008. 5in Advanced Topics in Biometrics b1057-ch01 B. Ma and H. , and Dumouchel, P. Eigenvoice modelling with sparse training data, IEEE Trans. Speech and Audio Processing 13, 4, 345–354, 2005. , and Dumouchel, P. Joint factor analysis versus eigenchannels in speaker recognition, IEEE Trans. Audio, Speech, and Language Processing 15, 4, 1435–1447, 2007. Kinnunen, T. and Li, H. An overview of text-independent speaker recognition: from features to supervectors, Speech Communication 52, 12–40, 2010.
Advanced Topics In Biometrics by Haizhou Li, Kar-Ann Toh, Liyuan Li