000			01481cam a22001694a 4500
020			_a9780521115964 (hardback)
020			_a0521115965 (hardback)
082	0	0	_a006.4 _bMUL
245	0	0	_aMultibiometrics for human identification /
260			_aCambridge ; _aNew York : _bCambridge University Press, _c2011.
300			_axiv, 388 p., [4] p. of plates : _bill. (some col.) ;
520			_a"In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans. The required level of performance cannot be achieved through the use of a single biometric such as face, fingerprint, ear, iris, palm, gait, or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance, and enhanced coverage of populations. Multiple biometrics are also naturally more robust against attacks than single biometrics. This book addresses a broad spectrum of research issues on multibiometrics for human identification, ranging from sensing modes and modalities to fusion of biometric samples and combination of algorithms. It covers publicly available multibiometrics databases, theoretical and empirical studies on sensor fusion techniques in the context of biometrics authentication, identification, and performance evaluation and prediction"--
650		0	_aBiometric identification.
700	1		_aBhanu, Bir.
700	1		_aGovindaraju, Venugopal.
942			_cBK
999			_c33794 _d33794