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The process of recognizing a human being using one or more inherent physical traits. For example, one may identify a criminal using his/her fingerprints. Biometric products are used for a variety of government and commercial purposes, often for security.
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Increasingly popular building security system technology that relies on automated identification of physical characteristics such as fingerprints or retinal scans in order to determine access rights.The technology and the cost have both reached the point that consumer-level biometric security devices are available,such as for use in self-storage facilities and residences.Access codes, keys, and electronic cards are becoming outdated. Developers should bear this in mind when designing new construction and spend a minor amount of extra money necessary for wiring to accommodate biometric systems.

The Complete Real Estate Encyclopedia by Denise L. Evans, JD & O. William Evans, JD. Copyright © 2007 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
Figure 2 shows the receiver operating characteristics (ROC) curve of proposed speech and speaker recognition system.
References [12-14] have used it to enhance the performance of speaker recognition model.
In the linear combination, since both PSVM and GMM methods are inherently capable of accurate speaker verification, each can be individually trained and a linear combination of them be applied for speaker recognition. In this case, better results shall be obtained.
Kishore, "Source and system features for speaker recognition using AANN models", in Proc.
Previous work on security-based speaker recognition systems largely falls within the domain of dealing with interspeaker variables, like channel and background noise.
Commonly, thirteen MFCC are used in most applications of speech recognition and speaker recognition. In order to verify whether this number provides good classification accuracy and find a number of LSF coefficients, we conducted an experiment with a large variation in the number of extracted coefficients.
Waibel, "Applications of LDA to Speaker Recognition," presented at the International Conference on Speech and Language Processing, Beijing, China, October 2000; retrieved February 10, 2002, from
The seven leading biometric technologies include facial recognition, fingerprint recognition, hand geometry, iris recognition, retina recognition, signature recognition, and speaker recognition. To evaluate the effectiveness of biometrics in border control, it is important to recognize that the use of biometric technology would be but one component of the decision to support systems that determine who is allowed to enter the United States and who is not.
* Automated speaker recognition systems that incorporate Pashtu, Urdu, Farsi, Arabic dialects, and other Middle Eastern and Central Asian languages.
Technologies include video enhancement, time line analysis software and speaker recognition.
A possible performance breakthrough by a NIST scientist involving significant reduction in error rates was reported at the 2001 Speaker Recognition Workshop, held in May 2001, in Linthicum, MD.