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B. Miller. Vital Signs of Identity. IEEE Spectrum, February 1994, pp 22-30

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Personal Verification using Palmprint and Hand Geometry.. - Kumar, Wong, Shen, Jain (2003)   (Correct)

....hand images appears in [20] and [21] These authors have used fixation pegs to restrict the hand movement and shown promising results. However, the results in [20] 21] may be biased by the small size of the database and an imposter can easily violate the integrity of system by using fake hand [22]. 1.2 Proposed system The palmprint and hand geometry images can be extracted from a hand image in a single shot at the same time. Unlike other multibiometrics systems (e .g. face and fingerprint [23] voice and face [24] etc. a user does not have to undergo the inconvenience of passing ....

B. Miller, "Vital signs of identity," IEEE Spectrum , vol. 32, no. 2,, pp. 22-30, 1994.


Integrating Authentication into Existing Protocols - Sailer (1996)   (Correct)

....or stealing it from where it is stored or used) The next chapter will introduce the protocol used throughout the rest of the paper and explains how it counteracts the above threats. lwe speak of two parties but most holds with little adaptation for more than two parties, too 2see also [7], 11] 3see also [1] 10] 2 2.1 The X.509 Three Way Handshake Protocol for Strong Authentication The X.509 Authentication Framework [1] is based on public key cryptosystems, namely the RSA cryptosystem [8] This cryptographic scheme assumes that each individual possesses a unique secret key ....

B. Miller "Vital signs of identity", IEEE Spectrum, February 1994, pp. 22-30


Computer Vision Algorithms on Reconfigurable Logic Arrays - Ratha (1996)   (2 citations)  (Correct)

....the skin and non ideal nature of the imaging process in capturing the fingerprint impressions, distortions of the feature vectors are inevitable. 6. 1 Fingerprint matching Fingerprint based personal identification is the most popular biometric technique used in automatic personal identification [156]. Law enforcement agencies use it routinely for criminal identification. Now, it is also being used in several other applications such as access control for high security installations, credit card usage verification, and employee identification [156] The main reason for the popularity of ....

....used in automatic personal identification [156] Law enforcement agencies use it routinely for criminal identification. Now, it is also being used in several other applications such as access control for high security installations, credit card usage verification, and employee identification [156]. The main reason for the popularity of fingerprints as a form of identification is that the fingerprint of a person is unique and the features used for matching remain invariant through age. A fingerprint is characterized by ridges and valleys. The ridges and valleys alternate, flowing locally ....

B. Miller. Vital signs of identity. IEEE Spectrum, 31(2):22--30, February 1994.


An FPGA-based Point Pattern Matching Processor with.. - Ratha, Jain, Rover (1995)   (1 citation)  (Correct)

....database. Typically, there are millions of fingerprint records in the database. In order to provide a quick response time, special hardware accelerators are needed for matching. Fingerprint based identification is the most popular biometric technique used in automatic personal identification [7]. Law enforcement agencies use it routinely for criminal identification. Now, it is also being used in several other applications such as access control for high security installations, credit card usage verification, and employee identification [7] The main reason for the popularity of ....

....used in automatic personal identification [7] Law enforcement agencies use it routinely for criminal identification. Now, it is also being used in several other applications such as access control for high security installations, credit card usage verification, and employee identification [7]. The main reason for the popularity of fingerprints as a form of identification is that the fingerprint of a person is unique and remains invariant through age. A fingerprint is characterized by ridges and valleys. The ridges and valleys alternate, flowing locally in a constant direction (see ....

B. Miller, "Vital signs of identity," IEEE Spectrum, vol. 31, pp. 22--30, February 1994.


Three Dimensional Human Face Acquisition for Recognition - Tibbalds (1998)   (Correct)

.... systems can seem to have an element of Big Brother about them, a term somewhat presciently coined by George Orwell in Nineteen Eighty Four [35] Many magazines and journals have had special editions dealing with the issues of biometric research, such as the IEEE Spectrum journal [31], with commercial interest 1 Identification being confirmation of a claimed identity; recognition being confirmation without prior claim CHAPTER 1. INTRODUCTION 2 being demonstrated in such professional magazines as Advanced Imaging [1] The problem has been considered for many years prior to ....

Benjamin Miller. Vital signs of identity. IEEE Spectrum, 31(2):22--30, 1994.


On-line Fingerprint Verification - Jain, Hong, Bolle (1996)   (15 citations)  (Correct)

....used in personal identification for several centuries [11] The validity of their use has been well established. Inherently, using current technology fingerprint identification is much more reliable than other kinds of popular personal identification methods based on signature, face, and speech [11, 3, 15]. Although fingerprint verification is usually associated with criminal identification and police work, it has now become more popular in civilian applications such as access control, financial security and verification of firearm purchasers and driver license applicants [11, 3] Usually, ....

B. Miller, Vital Signs of Identity, IEEE Spectrum, Vol. 31, No. 2, pp. 22-30, 1994.


Face Recognition: A Hybrid Neural Network Approach - Lawrence, Giles, Tsoi, Back (1996)   (9 citations)  (Correct)

....personal identification in computerized access control has resulted in an increased interest in biometrics 1 . Biometrics being investigated include fingerprints [4] speech [7] signature dynamics [36] and face recognition [8] Sales of identity verification products exceed 100 million [29]. Face recognition has the benefit of being a passive, non intrusive system for verifying personal identity. The techniques used in the best face recognition systems may depend on the application of the system. We can identify at least two broad categories of face recognition systems: 1. We want ....

B. Miller. Vital signs of identity. IEEE Spectrum, pages 22--30, February 1994.


Ear Biometrics for Machine Vision - Burge, Burger   (Correct)

....of biometrics, e.g. fingerprint based, provide the basis for most commercial implementations. Unlike facial biometrics, fingerprint based biometrics have been shown to be highly amenable to automation by machine vision techniques [1] The automation of fingerprint biometrics began in 1971 [8] and has culminated in a number of commercial machine vision based systems. In terms of traditional image processing problems fingerprint imaging is done within a controlled environment, usually a specially designed scanner, which eliminates the problem of localization and artifacts from shadowing ....

....systems is intrinsic in the success of the identification. One class of passive physiological biometrics are those based upon iris scans. Unlike retinal scans, which require close contact with the scanner, iris based recognition has been reported from distances of 40 cm in controlled situations [8]. The unique collection of striations, pits, and other observable features of the iris along with the ease of segmenting the iris from the white tissue of the eye which serves as its background, make iris based biometrics attractive. The decided disadvantage is the small size of the iris which ....

B. Miller. Vital signs of identity. IEEE Spectrum, 83:22--30, February 1994.


Anonymous Credit Cards and its Collusion Analysis - Steven Low (1994)   (2 citations)  (Correct)

....We assume that in order to use the smartcard, customer C must first authenticate herself to the card. This can be done by simply supplying a PIN (personal identification number) or by answering a personal question randomly selected by the card [6] or by using biometric identification technology [9]. In addition to making purchases at a store, the customer can use this protocol to verify that the double locked box that was constructed by B c and cx is correct. C sends a message M = fr; Ag to account (B c ; C) where r is a nonce and A is the address C wants a response sent to. The bank B c ....

Benjamin Miller. Vital signs of identity. IEEE Spectrum, pages 22--30, February 1994.


Face Recognition: A Hybrid Neural Network Approach - Lawrence, Giles, Tsoi, Back (1996)   (9 citations)  (Correct)

....1 . Biometrics being investigated include fingerprints (Blue, Candela, Grother, Chellappa and Wilson, 1994) speech (Burton, 1987) signature dynamics (Qi and Hunt, 1994) and face recognition (Chellappa, Wilson and Sirohey, 1995) Sales of identity verification products exceed 100 million (Miller, 1994). Face recognition has the benefit of being a passive, non intrusive system for verifying personal identity. The techniques used in the best face recognition systems may depend on the application of the system. There are at least two broad categories of face recognition systems: 1. The goal is to ....

Miller, B. (1994), `Vital signs of identity', IEEE Spectrum pp. 22--30.


Authentication via Keystroke Dynamics - Monrose, Rubin (1997)   (7 citations)  (Correct)

....access to computer resources. One such safeguard is keystroke dynamics. As the name implies, this method analyzes the way a user types at a terminal by monitoring the keyboard inputs thousands of times per second, and aims to identify users based on certain habitual typing rhythm patterns [Mil94]. We argue that the use of keystroke rhythm is a natural choice for computer security. This argument stems from observations that similar neuro physiological factors which make written signatures unique, are also exhibited in a user s typing pattern [JG90] When a person types, the latencies ....

Benjamin Miller. Vital Signs of Identity. IEEE Spectrum, pages 22 -- 30, 1994.


A Real-time Matching System for Large Fingerprint Databases - Ratha, al. (1996)   (13 citations)  (Correct)

....6, the architecture of Splash 2 and the mapping of the matching algorithm onto Splash 2 is described. Our conclusions and future work are described in Section 7. 2 Fingerprint Matching Fingerprint matching is one of the most popular biometric techniques used in automatic personal identification [28]. Law enforcement agencies use it routinely for criminal identification. Now it is also being used in several other applications such as access control for high security installations, credit card usage verification, and employee identification [28] The main reason for the popularity of ....

....used in automatic personal identification [28] Law enforcement agencies use it routinely for criminal identification. Now it is also being used in several other applications such as access control for high security installations, credit card usage verification, and employee identification [28]. The main reason for the popularity of fingerprints as a method of identification is that the fingerprint of a person is unique and features used in matching remain invariant with his her age. The law enforcement agencies have developed a standardized method for manually matching rolled ....

[Article contains additional citation context not shown here]

B. Miller. Vital signs of identity. IEEE Spectrum, 31(2):22--30, February 1994.


'Pressure Sequence' - A Novel Method of Protecting Smart Cards - Henderson, Hartel (2000)   (2 citations)  (Correct)

No context found.

B. Miller. Vital Signs of Identity. IEEE Spectrum, February 1994, pp 22-30


Comparing The Performance of the Discriminant Analysis.. - Feitosa, Thomaz, Veiga (1999)   (Correct)

No context found.

B. Miller, "Vital signs of identity", IEEE Spectrum, Feb. , pp. 22-30, 1994.


biometrics: Promising frontiers for emerging identification.. - Jain, Hong, Pankanti (1999)   (1 citation)  (Correct)

No context found.

B. Miller. Vital signs of identity. IEEE Spectrum, 31(2):22--30, 1994.


Design Of Radial Basis Function Network as Classifer in.. - Thomaz, Feitosa, Veiga (1998)   (Correct)

No context found.

B. Miller, "Vital signs of identity", IEEE Spectrum, Feb. , pp. 22-30, 1994.


Data Mining in Forensic Image Databases - Geradts, Bijhold   (Correct)

No context found.

B. Miller; Vital Signs of Identity", IEEE Spectrum, 31(2), pp. 22-30, 1994.


A Review of Dynamic Handwritten Signature Verification - Gupta, McCabe (1997)   (1 citation)  (Correct)

No context found.

B. Miller (1994). Vital Signs of Identity. IEEE Spectrum, pp. 22-30.


Fingerprint Enhancement - Hong, Jain, Pankanti, Bolle (1996)   (1 citation)  (Correct)

No context found.

B. Miller, Vital Signs of Identity, IEEE Spectrum, Vol. 31, No. 2, pp. 22-30, 1994.


On-line Fingerprint Verification - Jain (1996)   (15 citations)  (Correct)

No context found.

B. Miller, Vital Signs of Identity, IEEE Spectrum, Vol. 31, No. 2, pp. 22-30, 1994.


An Identity Authentication System Using Fingerprints - Jain, Hong, Pankanti, Bolle (1997)   (17 citations)  (Correct)

No context found.

B. Miller, Vital Signs of Identity, IEEE Spectrum, Vol. 31, No. 2, pp. 22-30, 1994.


Authentication Techniques - Esmaili, Safavi-Naini, Zheng (1994)   (Correct)

No context found.

B. Miller, Vital signs of identity, IEEE Spectrum, February, 1994.


Integrating Faces and Fingerprints for Personal Identification - Hong, Jain (1997)   (19 citations)  (Correct)

No context found.

B. Miller, Vital Signs of Identity, IEEE Spectrum, Vol. 31, No. 2, pp. 22-30, 1994.


Identity Authentication Using Fingerprints - Hong, Jain, Pankanti, Bolle (1997)   (1 citation)  (Correct)

No context found.

B. Miller, Vital Signs of Identity, IEEE Spectrum, Vol. 31, No. 2, pp. 22-30, 1994.


Adaptive Flow Orientation Based Feature Extraction in.. - Ratha, al. (1995)   (8 citations)  (Correct)

No context found.

B. Miller. Vital signs of identity. IEEE Spectrum, 31(2):22--30, February 1994.

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