A practical guide to biometric security technology

Liu, S.; Silverman, Marc

doi:10.1109/6294.899930

Cited by 223 publications

(112 citation statements)

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“…Biometric identiÿcation systems (BISs), i.e., identiÿcation based on biometric features, are expected to provide in the near future secure access to physical and virtual resources and spaces since, unlike traditional identiÿcation, they are based on what we are (our individual traits). Virtually any physiological feature could be used for identiÿcation; however, the most generalized biometric techniques include the automated recognition of ÿn-gerprints, faces, iris, retina, hand geometry, voice and signature [50,44,27,59,60,32].…”

Section: Introductionmentioning

confidence: 99%

Biometric identification systems

et al. 2003

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In this paper, we provide an overview of the fundamentals of biometric identiÿcation, together with a description of the main biometric technologies currently in use, all of them within a common reference framework. A comparison on di erent qualitative parameters of these technologies is also given, so that the reader may have a clear perspective of advantages and disadvantages of each. A section on multibiometrics describes the state of the art in making these systems work coordinately. Fusion at di erent conceptual levels is described. Finally, a section on commercial issues provides the reader a perspective of the main companies currently involved in this ÿeld. ?

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Section: Introductionmentioning

confidence: 99%

Biometric identification systems

et al. 2003

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“…Humans have unique and distinctive characteristics such as face, fingerprint, voice, iris and gestures, with these characteristics able to be used as recognition or classifying of humans, this is known as biometric recognition [1]. The method of identification based on biometric characteristics is preferred over traditional passwords and PIN based methods for various reasons such as the fact that the person to be identified is required to be physically present at the time-of-identification.…”

Section: Introductionmentioning

confidence: 99%

Iris Image Recognition Based on Independent Component Analysis and Support Vector Machine

Fachrurrozi

Mujtahid

2015

TELKOMNIKA

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“…A lot of automated biometrics based identification and verification systems have been developed [1]. The biometrics features derived from fingerprints, faces [2], irises, retinas, a speaker's voice, and perhaps a variety of other characteristics.…”

Section: Introductionmentioning

confidence: 99%

Using Feature Extraction for Human Footprints Recognition

Al-Dulaimi¹

2013

IJCA

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In this paper, a robust technique for identifying and recognize human-footprint images is presented. There are many methods for footprint Recognition, but most of them require segmentation or connected component analysis.. The Recognition process utilizes the determinant value that produces the features for the human-footprint. Image's determinants values are computed, by divided image into blocks then deigned Threshold (T) to extract feature. The least square criterion is then utilized to determine the similarity between the existed (in Database file) footprints with a new query footprint's images.

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A practical guide to biometric security technology

Cited by 223 publications

References 0 publications

Biometric identification systems

Biometric identification systems

Iris Image Recognition Based on Independent Component Analysis and Support Vector Machine

Using Feature Extraction for Human Footprints Recognition

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