Biometric Error Rates
See also minutia(e) point. RFID is not a biometric. Unclassified Report of the Defense Science Board Task Force. See also delta point, loop, whorl. navigate here
See also Receiver Operating Characteristics. Pixels Per Inch (PPI) A measure of the resolution of a digital image. A CMC compares the rank (1, 5, 10, 100, etc.) versus identification rate. Biometric Data A catch-all phrase for computer data created during a biometric process. http://www.biometric-solutions.com/glossary.php?term=Crossover%20Error%20Rate
Biometric Error Rates
Conversely, a higher threshold will reduce the FMR but increase the FNMR. Failure to Acquire (FTA) Failure of a biometric system to capture and/or extract usable information from a biometric sample. Should I report it? Enrollment TheThe process of collecting a biometric sample from an end user, converting it into a biometric reference, and storing it in the biometric system's database for later comparison.
All biometric characteristics depend somewhat upon both behavioral and biological characteristic. See also capture. See also submission. Types Of Biometrics Science Daily. 12 July 2012. ^ Saylor, Michael (2012).
The first time an individual uses a biometric system is called enrollment. M. Each metric shows the score value, FMR and FNMR values. https://www.tractica.com/biometrics/in-biometrics-which-error-rate-matters/ Get A Free Skillset Account × Terms Privacy Help Contact Blog © 2016 Skillset.
Abdel-Mottaleb, & W. Biometric Security In our example, suppose the DT is fixed on 0.507 as showed in figure 5. Development Kits Eye/Iris Development Kits Voice/Speaker ID Dev. Although soft biometric characteristics lack the distinctiveness and permanence to recognize an individual uniquely and reliably, and can be easily faked, they provide some evidence about the users identity that could
Crossover Error Rate Calculation
Equal Error Rate (EER) A statistic used to show biometric performance, typically when operating in the verification task. See also friction ridge. Biometric Error Rates Generic term sometimes used in the biometrics community to discuss a biometric system. Biometric Technology Binning Process of parsing (examining) or classifying data in order to accelerate and/or improve biometric matching.
Challenge Response A method used to confirm the presence of a person by eliciting direct responses from the individual. check over here Performance A catch-all phrase for describing a measurement of the characteristics, such as accuracy or speed, of a biometric algorithm or system. See also cooperative user, indifferent user, non-cooperative user, uncooperative user, user. Keystroke Dynamics A biometric modality that uses the cadence of an individual's typing pattern for recognition. Biometrics Screening
- C.; Jain, A.
- Modality A type or class of biometric system.
- Extraction The process of converting a captured biometric sample into biometric data so that it can be compared to a reference.
- Retrieved 2006-06-11.
International Political Sociology, 1:2, 149–64 ^ Pugliese J. (2010), Biometrics: Bodies, Technologies, Biopolitics. Resolution The number of pixels per unit distance in the image. You can consult Biometric principles on Biometria's web site for more information. his comment is here Read More » DevOp's Role in Application Security As organizations rush to release new applications, security appears to be getting short shrift.
This increases the FMR, which thus also depends upon the threshold value. False non-match rate (FNMR, also called FRR = False Reject Rate): the probability that the system fails to detect Biometric Devices See also FERET, FRVT. In "open-set" identification, sometimes referred to as a "watchlist," the person is not guaranteed to exist in the database.
Cooperative User An individual that willingly provides his/her biometric to the biometric system for capture.
An example of an overt environment is the US-VISIT program where non-U.S. Failure to Enroll (FTE) Failure of a biometric system to form a proper enrollment reference for an end user. p.220. Biometric Authentication Ngo, "Random Multispace Quantization as an Analytic Mechanism for BioHashing of Biometric and Random Identity Inputs", Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 28, pp. 1892–1901, 2006. ^ M.
A biometric system is an automated system capable of: Capturing a biometric sample from an end user Extracting and processing the biometric data from that sample Storing the extracted information in Speech recognition is not a biometric technology. See also FRGC, FRVT. http://advogato.net/error-rate/bit-error-rate-calculator.html Comparison Process of comparing a biometric reference with a previously stored reference or references in order to make an identification or verification decision.
Common failures include end userswho are not properly trained to provide their biometrics, the sensor not capturing information correctly, or captured sensor data of insufficient quality to develop a template. See also cooperative user, non-cooperative user, uncooperative user. See also INCITS, ISO, NIST. Crossover Error Rate Compared to False Accept and False Reject Rates (Source: ISC2, International Information Systems Security Certification Consortium) Instead, convenience use cases demand a reduction of false rejects – the
By checking the biometrics of a traveler against its databases, US-VISIT verifies whether the traveler has previously been determined inadmissible, is a know security risk (including having outstanding wants and warrants), The mission of ANSI is to enhance both the global competitiveness of U.S. See also cooperative user, indifferent user, non-cooperative user, uncooperative user, user. Retrieved 2012-07-29. ^ Weaver, A.
See also non-cooperative user, overt. If someone's face is compromised from a database, they cannot cancel or reissue it. See also FRGC, FERET. quality of life by promoting and facilitating voluntary consensus standards and conformity assessment systems, and safeguarding their integrity.
Application Programming Interface (API) Formatting instructions or tools used by an application developer to link and build hardware or software applications. Systems then make decisions based on this score and its relationship (above or below) a predetermined threshold. Neural Net/Neural Network A type of algorithm that learns from past experience to make decisions. See also match.
Mordini E., Green M. (eds) (2008), Identity, Security, and Democracy, IOS Press NATO Series, Brussels Mordini E, Tzovaras D (ads) (2012), Second Generation Biometrics: the Ethical and Social Context, Springer, The Proper biometric use is very application dependent. Detection Error Trade-off (DET) Curve A graphical plot of measured error rates. All Rights Reserved|About Skillset × MAIN BROWSE TERMS DID YOU KNOW?
False Non-Match Rate A statistic used to measure biometric performance. Guaranteed. share|improve this answer answered May 9 '14 at 8:37 Steven Volckaert 1,094515 add a comment| up vote 0 down vote A lot of articles on the Web claim that the EER ICE - Iris Challenge Evaluation A large-scale development and independent technology evaluation activity for iris recognition systems sponsored by the U.S.