Difference between pages "Biometrics Bibliography" and "Windows SuperFetch Format"

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<bibtex>
+
{{expand}}
@inproceedings{642639,
+
author = {Lynne Coventry and Antonella De Angeli and Graham Johnson},
+
title = {Usability and biometric verification at the ATM interface},
+
booktitle = {CHI '03: Proceedings of the SIGCHI conference on Human factors in computing systems},
+
year = {2003},
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isbn = {1-58113-630-7},
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pages = {153--160},
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location = {Ft. Lauderdale, Florida, USA},
+
doi = {http://doi.acm.org/10.1145/642611.642639},
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publisher = {ACM Press},
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address = {New York, NY, USA},
+
url="http://portal.acm.org/citation.cfm?id=642611.642639",
+
abstract="This paper describes some of the consumer-driven usability research conducted by NCR Self Service Strategic Solutions in the development of an understanding of usability and user acceptance of leading-edge biometrics verification techniques. We discuss biometric techniques in general and focus upon the usability phases and issues, associated with iris verification technology at the Automated Teller Machine (ATM) user interface. The paper concludes with a review of some of the major research issues encountered, and an outline of future work in the area."
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}
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</bibtex>
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<bibtex>
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== MEMO file ==
@article{1221459,
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Some of the <tt>Ag*.db</tt> files are MEMO files.
author = "Doroteo T. Toledano and Rub\'{e}n Fern\'{a}ndez Pozo and \'{A}lvaro Hern\'{a}ndez Trapote and Luis Hern\'{a}ndez G\'{o}mez",
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title = {Usability evaluation of multi-modal biometric verification systems},
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journal = {Interact. Comput.},
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volume = {18},
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number = {5},
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year = {2006},
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issn = {0953-5438},
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pages = {1101--1122},
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doi = {http://dx.doi.org/10.1016/j.intcom.2006.01.004},
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publisher = {Elsevier Science Inc.},
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address = {New York, NY, USA},
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}
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</bibtex>
+
  
<bibtex>
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The MEMO file consists of:
@article{1272062,
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* file header
author = {M. Angela Sasse},
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* compressed blocks
title = {Red-Eye Blink, Bendy Shuffle, and the Yuck Factor: A User Experience of Biometric Airport Systems},
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journal = {IEEE Security and Privacy},
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volume = {5},
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number = {3},
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year = {2007},
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issn = {1540-7993},
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pages = {78--81},
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doi = {http://dx.doi.org/10.1109/MSP.2007.69},
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publisher = {IEEE Educational Activities Department},
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address = {Piscataway, NJ, USA},
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abstract = {The author examines user interaction with biometric systems at airports, and emphasizes usability's importance in successfully operating biometric systems.}
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}
+
  
</bibtex>
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=== File header ===
 +
The file header is 84 bytes of size and consists of:
 +
{| class="wikitable"
 +
|-
 +
! Offset
 +
! Size
 +
! Value
 +
! Description
 +
|-
 +
| 0
 +
| 4
 +
| 0x304D454D ("MEM0") or 0x4F4D454D ("MEMO")
 +
| Signature
 +
|-
 +
| 4
 +
| 4
 +
|
 +
| Uncompressed (total) data size
 +
|-
 +
|}
  
<bibtex>
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=== Compressed blocks ===
@article{wwk001,
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The file header is followed by compressed blocks:
author = {Adams Wai-Kin Konga, David Zhanga and Guangming Luc  },
+
{| class="wikitable"
title = {A study of identical twins’ palmprints for personal verification},
+
|-
journal = {Pattern Recognition},
+
! Offset
volume = {39},
+
! Size
number = {11},
+
! Value
year = {2006},
+
! Description
pages = {2149--2156},
+
|-
doi = {http://dx.doi.org/10.1016/j.physletb.2003.10.071},
+
| 0
publisher = {Elsevier B.V},
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| 4
+
|
abstract = {Automatic biometric systems based on human characteristics for personal identification have attracted great attention. Their performance highly depends on the distinctive information in the biometrics. Identical twins having the closest genetics-based relationship are expected to have maximum similarity in their biometrics. Classifying identical twins is a challenging problem for some automatic biometric systems. Palmprint has been studied for personal identification for over seven years. Most of the previous research concentrates on algorithm development. In this paper, we systemically examine palmprints from the same DNA for automatic personal identification and to uncover the genetically related palmprint features. The experimental results show that the three principal lines and some portions of weak lines are genetically related features but our palms still contain rich genetically unrelated features for classifying identical twins.}
+
| Compressed data size
}
+
|-
 +
| 4
 +
| ...
 +
|
 +
| Compressed data
 +
|-
 +
|}
  
</bibtex>
+
=== Uncompressed data ===
 +
<b>TODO</b>
  
<bibtex>
+
== TRX file ==
@article{ganeshana001,
+
The <tt>Ag*.db.trx</tt> files are TRX files.
author = {Balaji Ganeshana, Dhananjay Theckedathb, Rupert Younga and Chris Chatwina  },
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title = {Biometric iris recognition system using a fast and robust iris localization and alignment procedure },
+
journal = {Optics and Lasers in Engineering },
+
volume = {44},
+
number = {1},
+
month = {January},
+
year = {2006},
+
pages = {1--24},
+
doi = {http://dx.doi.org/10.1016/j.optlaseng.2005.03.010 },
+
publisher = {Elsevier B.V},
+
+
abstract = {Iris recognition as a biometric technique for personal identification and verification is examined. The motivation for this stems from the observation that the human iris provides a unique structure suitable for non-invasive biometric assessment. In particular the irises are as distinct as fingerprints or patterns of retinal blood vessels and the appearance of the iris is amenable to remote examination. In this paper we have used a database of iris images of more than 100 people, which was used in the implementation of the iris recognition software. The software developed uses a novel technique of localization, alignment, pattern matching of the irises and finally the decision regarding the degree of match. }
+
}
+
  
</bibtex>
+
<b>Note that the following format specification is incomplete.</b>
  
<bibtex>
+
=== File header ===
@article{ross001,
+
The file header is 84 bytes of size and consists of:
author = {Arun Ross and Anil Jain },
+
{| class="wikitable"
title = {Information fusion in biometrics},
+
|-
journal = {Pattern Recognition Letters },
+
! Offset
volume = {24},
+
! Size
number = {13},
+
! Value
month = {September},
+
! Description
year = {2003},
+
|-
pages = {2115--2125},
+
| 0
doi = {http://dx.doi.org/10.1016/S0167-8655(03)00079-5  },
+
| 4
publisher = {Elsevier B.V},
+
| 1
+
| Unknown (Version?)
abstract = {Reliable and accurate verification of people is extremely important in a number of business transactions as well as access to privileged information. Automatic verification methods based on physical biometric characteristics such as fingerprint or iris can provide positive verification with a very high accuracy. However, the biometrics-based methods assume that the physical characteristics of an individual (as captured by a sensor) used for verification are sufficiently unique to distinguish one person from another. Identical twins have the closest genetics-based relationship and, therefore, the maximum similarity between fingerprints is expected to be found among identical twins. We show that a state-of-the-art automatic fingerprint verification system can successfully distinguish identical twins though with a slightly lower accuracy than nontwins. }
+
|-
}
+
| 4
 +
| 4
 +
|
 +
| Unknown
 +
|-
 +
| 8
 +
| 4
 +
|
 +
| File size
 +
|-
 +
| 12
 +
| 4
 +
|
 +
| Unknown (Record count?)
 +
|-
 +
| 16
 +
| 4
 +
|
 +
| Unknown (Record count?)
 +
|-
 +
| 20
 +
| 4
 +
|
 +
| Unknown (Records offset or file header size)
 +
|-
 +
|}
  
</bibtex>
+
== See Also ==
 +
* [[SuperFetch]]
  
<bibtex>
+
== External Links ==
@article{sou001,
+
* [http://blog.rewolf.pl/blog/?p=214 Windows SuperFetch file format – partial specification], by ReWolf, October 5, 2011
author = {Colin Soutar },
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title = {Implementation of Biometric Systems — Security and Privacy Considerations },
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journal = {Information Security Technical Report},
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volume = {7},
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number = {4},
+
month = {December},
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year = {2002},
+
pages = {49--55},
+
doi = {http://dx.doi.org/10.1016/S1363-4127(02)00406-5  },
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publisher = {Elsevier Science Ltd},
+
+
abstract = {As biometric systems are deployed within security systems, or as part of identification programs, implementation issues relating to security and privacy need to be considered. The role of a biometric system is to recognize (or not) an individual through specific physiological or behavioral traits. The use of the word ‘recognize’ is significant — defined in the Oxford Dictionary as “identify as already known”. In other words, a biometric system does not establish the identity of an individual in any way, it merely recognizes that they are who they say they are (in a verification or a ‘positive identification’ system), or that they were not previously known to the system (in a ‘negative identification’ system, for example, to avoid double enrollment in a welfare system). This tie between the actual identity of an individual and the use of biometrics is subtle and provokes much debate, particularly relating to privacy and other societal issues. This paper seeks to clarify come of these issues by providing a framework, and by distinguishing between technology and societal issues.  }
+
}
+
  
</bibtex>
+
[[Category:File Formats]]
 
+
<bibtex>
+
@article{jain001,
+
author = {Anil K. Jain, Salil Prabhakar,and Sharath Pankanti},
+
title = {On the similarity of identical twin fingerprints },
+
journal = {Pattern Recognition },
+
volume = {35},
+
number = {11},
+
month = {November},
+
year = {2002},
+
pages = {2653--2663},
+
doi = {http://dx.doi.org/10.1016/S0031-3203(01)00218-7 },
+
publisher = {Elsevier B.V.},
+
+
abstract = {Reliable and accurate verification of people is extremely important in a number of business transactions as well as access to privileged information. Automatic verification methods based on physical biometric characteristics such as fingerprint or iris can provide positive verification with a very high accuracy. However, the biometrics-based methods assume that the physical characteristics of an individual (as captured by a sensor) used for verification are sufficiently unique to distinguish one person from another. Identical twins have the closest genetics-based relationship and, therefore, the maximum similarity between fingerprints is expected to be found among identical twins. We show that a state-of-the-art automatic fingerprint verification system can successfully distinguish identical twins though with a slightly lower accuracy than nontwins.  }
+
}
+
 
+
</bibtex>
+
 
+
<bibtex>
+
@article{doro01,
+
author = {Doroteo T. Toledano, Rubén Fernández Pozo, Álvaro Hernández Trapote and Luis Hernández Gómez},
+
title = {Usability evaluation of multi-modal biometric verification systems },
+
journal = {Interacting with Computers },
+
volume = {18},
+
number = {5},
+
month = {September},
+
year = {2006},
+
pages = {1101--1122},
+
doi = {http://dx.doi.org/10.1016/j.intcom.2006.01.004 },
+
publisher = {Elsevier B.V.},
+
+
abstract = {As a result of the evolution in the field of biometrics, a new breed of techniques and methods for user identity recognition and verification has appeared based on the recognition and verification of several biometric features considered unique to each individual. Signature and voice characteristics, facial features, and iris and fingerprint patterns have all been used to identify a person or just to verify that the person is who he/she claims to be. Although still relatively new, these new technologies have already reached a level of development that allows its commercialization. However, there is a lack of studies devoted to the evaluation of these technologies from a user-centered perspective. This paper is intended to promote user-centered design and evaluation of biometric technologies. Towards this end, we have developed a platform to perform empirical evaluations of commercial biometric identity verification systems, including fingerprint, voice and signature verification. In this article, we present an initial empirical study in which we evaluate, compare and try to get insights into the factors that are crucial for the usability of these systems.  }
+
}
+
 
+
</bibtex>
+
 
+
=Surveys=
+
 
+
Things to check:
+
 
+
NIST  Face Recognition Vendor Test (FRVT) 2006 and the Iris Challenge Evaluation (ICE) 2006
+
 
+
<bibtex>
+
@report {ORC_PATUBITGPS},
+
title = {Public Attitudes Toward the Uses of Biometric Identification Technologies by Government and the Private Sector},
+
year = {2002},
+
url = {http://dematerialisedid.com/PDFs/Biometricsurveyfindings.pdf}
+
</bibtex>
+
 
+
 
+
<bibtex>
+
@paper {simon001,
+
author = {A. Simon, D. M. Worthen, and J. A. Mitas},
+
title = {An evaluation of iridology",
+
pub = {Journal of Ameerican Medical Assoc},
+
vol = {242},
+
pages = { 1385--1387},
+
year = {1979}
+
}
+
 
+
</bibtex>
+
 
+
[[Category:Bibliographies]]
+

Revision as of 00:28, 15 April 2014

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Please help to improve this article by expanding it.
Further information might be found on the discussion page.

MEMO file

Some of the Ag*.db files are MEMO files.

The MEMO file consists of:

  • file header
  • compressed blocks

File header

The file header is 84 bytes of size and consists of:

Offset Size Value Description
0 4 0x304D454D ("MEM0") or 0x4F4D454D ("MEMO") Signature
4 4 Uncompressed (total) data size

Compressed blocks

The file header is followed by compressed blocks:

Offset Size Value Description
0 4 Compressed data size
4 ... Compressed data

Uncompressed data

TODO

TRX file

The Ag*.db.trx files are TRX files.

Note that the following format specification is incomplete.

File header

The file header is 84 bytes of size and consists of:

Offset Size Value Description
0 4 1 Unknown (Version?)
4 4 Unknown
8 4 File size
12 4 Unknown (Record count?)
16 4 Unknown (Record count?)
20 4 Unknown (Records offset or file header size)

See Also

External Links