Biometrics

Modeling an intelligent continuous authentication system to protect [An article from: International Journal of Accounting Information Systems]

admin — Mon, 22 Mar 2010 06:14:04 +0000

Modeling an intelligent continuous authentication system to protect [An article from: International Journal of Accounting Information Systems] : This digital document is a journal article from International Journal of Accounting Information Systems, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
This paper examines fundamental principles of continuous authentication (CA) and proposes a four-tier CA architecture to secure financial information systems. We define CA as a process that verifies the identity of an information systems user continuously for the entire duration of an authorized session. While organizations can, in theory, strengthen the security of their financial information systems through CA, several challenges need to be addressed in designing a CA architecture. A primary challenge involves the constantly changing user profiles in globally networked business environments. Profile content may include user knowledge and characteristics, access location, job characteristics, and transaction attributes. We propose swarm intelligence, which has the capacity to handle complex profile changes, as a technology for implementing CA in a dynamic, distributed network environment where user profiles are constantly changing. The paper explores model implementation challenges and discusses opportunities for future research.
Modeling an intelligent continuous authentication system to protect [An article from: International Journal of Accounting Information Systems]

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Computer Analysis of Images and Patterns: 13th International Conference, CAIP 2009, Münster, Germany, September 2-4, 2009, Proceedings (Lecture Notes in … Vision, Pattern Recognition, and Graphics)

admin — Sat, 20 Mar 2010 13:28:54 +0000

Computer Analysis of Images and Patterns: 13th International Conference, CAIP 2009, Münster, Germany, September 2-4, 2009, Proceedings (Lecture Notes in … Vision, Pattern Recognition, and Graphics) :

This book constitutes the refereed proceedings of the bienially held International Conference on Computer Analysis of Images and Patterns, CAIP 2009, which took place in Münster, Germany, September 2-4, 2009.

The 148 papers presented together with 2 invited talks were carefully reviewed and selected from 405 submissions. The papers are organized in topical section on: biometrics, calibration, document analysis, features, graph representations, image processing, image registration, image and video retrieval, medical imaging, object and scene recognition, pattern recognition, shape recovery, segmentation, stereo and video analysis, texture analysis, and applications.

From territorial space to networks: a Foucaldian approach to the implementation of biometry.: An article from: Alternatives: Global, Local, Political

admin — Fri, 19 Mar 2010 02:52:38 +0000

From territorial space to networks: a Foucaldian approach to the implementation of biometry.: An article from: Alternatives: Global, Local, Political : This digital document is an article from Alternatives: Global, Local, Political, published by Lynne Rienner Publishers on August 1, 2004. The length of the article is 7876 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: From territorial space to networks: a Foucaldian approach to the implementation of biometry.
Author: Philippe Bonditti
Publication:Alternatives: Global, Local, Political (Refereed)
Date: August 1, 2004
Publisher: Lynne Rienner Publishers
Volume: 29 Issue: 4 Page: 465(18)

Distributed by Thomson Gale
From territorial space to networks: a Foucaldian approach to the implementation of biometry.: An article from: Alternatives: Global, Local, Political

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Jets Confidential’s Book of New York Jets Trivia

admin — Wed, 17 Mar 2010 22:55:15 +0000

Jets Confidential’s Book of New York Jets Trivia : Veteran NFL writer Dan Leberfeld, who has covered the Jets for over a decade, has put together a Jets trivia book that Gang Green faithful aren’t going to do without. Join Dan on a trivial ride through the decades, reliving some great Jets memories along the way, with brainteasers like this – Who hold the Jets record for most punts in a career with 553? In 1980, what Jet set a NFL record with 17 catches in one game? What non-receiver led the Jets in receptions in 2000? The Jets acquired QB Boomer Esiason from Cincinnati in 1993 for a draft pick in what round? read more

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HID 800-8056 SmartTOUCHâ”¢ ISO 14443 DESFire Biometric fing

admin — Tue, 16 Mar 2010 07:00:13 +0000

HID 800-8056 SmartTOUCHâ”¢ ISO 14443 DESFire Biometric fing : SmartTOUCHâ„¢ ISO 14443 DESFire Biometric fing read more

Procrustes Analysis: Procrustes Analysis, Statistics, Shape Analysis, Shape, Procrustes, Active Shape Model, Alignments of Random Points, Biometrics, Generalized Procrustes Analysis

admin — Sat, 13 Mar 2010 09:58:03 +0000

Procrustes Analysis: Procrustes Analysis, Statistics, Shape Analysis, Shape, Procrustes, Active Shape Model, Alignments of Random Points, Biometrics, Generalized Procrustes Analysis : High Quality Content by WIKIPEDIA articles! In statistics, Procrustes analysis is a form of statistical shape analysis used to analyse the distribution of a set of shapes. The name Procrustes refers to a bandit from Greek mythology who made his victims fit his bed either by stretching their limbs or cutting them off. Here we just consider objects made up from a finite number k of points in n dimensions, these points are called landmark points. The shape of object can be considered as a member of an equivalence class formed by removing the translational, rotational and scaling components. For example, translational components can be removed from an object by translating the object so that the mean of all the points lies at the origin. Likewise the scale component can be removed by scaling the object so that the sum of the squared distances from the points to the origin is 1.
Procrustes Analysis: Procrustes Analysis, Statistics, Shape Analysis, Shape, Procrustes, Active Shape Model, Alignments of Random Points, Biometrics, Generalized Procrustes Analysis

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Deadbolt Keypad Fingerprint Door Lock — Bioguard N1

admin — Thu, 11 Mar 2010 01:22:06 +0000

Deadbolt Keypad Fingerprint Door Lock — Bioguard N1 : Bioguard N1 The Keylock biometric fingerprint keypad deadbolt lock is designed for unsurpassed security, style, keyless and ease of use. Keys are no longer needed with the lock. It can wake up automatically when you slid up cover. You only need to put your finger on sensor. The lock will check your fingerprint. You also can delete user individually. You can even access the lock with a combination keypad code. The lock rival the security levels that the Pentagon has.The Fingerprint Recognition Door lock system is excellent for the residential home or commercial office.Features Adopts optical sensor, CMOS chip. Unlock: Fingerprint, PIN or key. Up to 150 fingerprints capacity. Delete 75 user’s fingerprints individually. Program 78 PIN code at 8 digital long. Fingerprint won’t lose if batteries are dead. Weatherproof: Can be used on exterior doors. Sliding cover triggers sensor to wake up lock. Kwikset style key (duplicable) is for emergency. The key is rekeyable (kw1 keyway AXXESS #66). Heavy duty construction design. 4 AA batteries, Over 15,00 times in normal use. Low voltage warning. One year limited manufacturer’s warranty. Resolution Factor: 560 dpi FAR (False Accept Rate) < 1/100000. No external wiring required. Power Supply: 4 standard AA batteries. Static Consumption: < 40 uA. Dynamic Consumption: 100 mA – 400 mA. Operating humidity 20%-90%. Operating temperature: -4ºF to 140º F. Fit door thickness from 1 3/8" – 2". Adjustable latch: 2 3/8" or 2 3/4" backset. Fit a standard 2-1/8" diameter hole. Color: Satin Nickel and Polished Brass. read more

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Computer Vision, Graphics and Image Processing: 5th Indian Conference, ICVGIP 2006, Madurai, India, December 13-16, 2006, Proceedings (Lecture Notes in … Vision, Pattern Recognition, and Graphics)

admin — Tue, 09 Mar 2010 17:28:11 +0000

Computer Vision, Graphics and Image Processing: 5th Indian Conference, ICVGIP 2006, Madurai, India, December 13-16, 2006, Proceedings (Lecture Notes in … Vision, Pattern Recognition, and Graphics) :

This book constitutes the refereed proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2006, held in Madurai, India in December 2006.

The 29 revised full papers and 56 revised poster papers presented were carefully reviewed and selected from 284 submissions. The papers are organized in topical sections on image restoration and super-resolution, segmentation and classification, image filtering and image processing, graphics and visualization, video analysis, tracking and surveillance, face-, gesture-, and object-recognition, compression, document processing/OCR, content based image retrieval, stereo/camera calibration, and biometrics.

Computer Vision, Graphics and Image Processing: 5th Indian Conference, ICVGIP 2006, Madurai, India, December 13-16, 2006, Proceedings (Lecture Notes in … Vision, Pattern Recognition, and Graphics)

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Biometrika (Volume 7)

admin — Thu, 04 Mar 2010 14:34:14 +0000

Biometrika (Volume 7) : Volume: 7 Publisher: Cambridge : University Press ; New York : Macmillan Co. [distributor] Publication date: 1901 Subjects: Biometry Biology Notes: This is an OCR reprint. There may be numerous typos or missing text. There are no illustrations or indexes. When you buy the General Books edition of this book you get free trial access to Million-Books.com where you can select from more than a million books for free. You can also preview the book there.
Biometrika (Volume 7)

Advances in Biometrics: Sensors, Algorithms and Systems

admin — Sun, 28 Feb 2010 10:14:56 +0000

Advances in Biometrics: Sensors, Algorithms and Systems :

Biometrics technology continues to stride forward with its wider acceptance and its real need in various new security facets of modern society. From simply logging on to a laptop to crossing the border of a country, biometrics is being called upon to meet the growing challenges of identity management.

With contributions from academia and industry by leading international authorities in the field, this unique book presents a comprehensive treatment of biometrics and offers coverage of the entire gamut of topics in the field, including data acquisition, pattern-matching algorithms, and issues that impact at the system level, such as standards, security, networks, and databases. It has been organized under three sections: sensors, advances in biometric matching algorithms, and topics that deal with issues at the systems level.

Key features:

• Includes new algorithmic advances, including physiological biometrics (face from video, iris at a distance) and behavioral (handwriting, voice) and a strikingly novel modality in headprint biometrics

• Contains new modalities for research, such as infrared and multispectral imaging

• Presents several chapters on the much overlooked area relating to the sensors themselves for the various biometric modalities

• Emphasizes the advances and cutting-edge technologies throughout

• Discusses systems level both from a human-factors point of view and the perspective of networking, databases, privacy and anti-spoofing

• Incorporates chapters devoted to touchless image capture, ultrasonic imaging and swipe methods

Written for researchers and advanced students, this much needed concise volume is an ideal tool to use as a ready reference and captures the very latest in state-of-the-art research, providing readers with a broader and deeper understanding of the topic.

Dr Nalini K. Ratha is a Research Staff Member at the IBM Thomas J. Watson Research Center, New York. He co-edited the successful Automatic Fingerprint Recognition Systems and also co-authored A Guide to Biometrics Selection and System Design

Professor Venu Govindaraju is Director at the Center for Unified Biometrics and Sensors (CUBS), University at Buffalo, State University of New York.

Advances in Biometrics: Sensors, Algorithms and Systems

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