Get Handbook of Multibiometrics (International Series on PDF

By Arun A. Ross

ISBN-10: 0387222960

ISBN-13: 9780387222967

ISBN-10: 0387331239

ISBN-13: 9780387331232

Info multimodal biometrics and its unparalleled software for more and more trustworthy human acceptance platforms. unearths the monstrous benefits of multimodal structures over traditional identity equipment.

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Additional info for Handbook of Multibiometrics (International Series on Biometrics)

Sample text

In the order of millions). Some of the challenges commonly encountered by biometric systems are listed below. 1 Noise in sensed data: A fingerprint image with a scar, or a voice sample altered by cold are examples of noisy data. , poor illumination of a user's face in a face recognition system). , change in hand geometry). , 2004). Template update is an essential ingredient of any biometric system since it accounts for changes in a person's biometric with the passage of time. The face, hand and voice modalities, in particular, can benefit from suitably implemented template update mechanisms.

Dhs. gov). g.. Digital Rights Management (DRM), access control, welfare distribution). In other words, no biometric is ideal but a number of them are admissible. The relevance of a specific biometric to an application is established depending upon the nature and requirements of the application, and the properties of the biometric characteristic. A brief introduction to some of the commonly used biometric characteristics is given below: 1 Face: Face recognition is a non-intrusive method, and facial attributes are probably the most common biometric features used by humans to recognize one another.

The interested reader is referred to Kent and Millett, 2003 for a discussion on this terminology. , 2005). For brevity sake, we adopt the term biometrics in this book. , 2003). However, in this book we treat them as being equivalent. 1 Introduction Information fusion has a long history and the theory of multiple classifier systems (MCS) has been rigorously studied over the past several years (Ghosh, 2002). In fact information fusion is an integral part of various application domains ranging from automatic target recognition (ATR) and remote sensing to weather forecasting, object tracking and robotics.

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Handbook of Multibiometrics (International Series on Biometrics) by Arun A. Ross


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