Crossover Error Rate System
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to perform a quantitative comparison of different biometric solutions, applications or devices.more terms and definitions Sponsors Biometrics About equal error rate wiki biometrics Performance indicators Biometric applications Glossary Biometric Solutions Fingerprint Recognition Face Recognition Speaker Recognition Iris Recognition Keystroke Dynamics Biometric Devices Fingerprint Reader Biometric Software Reviews This Website Contact Terms and Conditions © 2010-2015 CORELAS BVBA VAT ID - BTW BE 0818.426.711 By using this website you are indicatingyour acceptance of our Terms and Conditions.
error rate test BER - bit error rate BERT - bit error rate test equalization stop error overflow error Class Speed Rating open rate bit
How To Calculate Equal Error Rate
rate audio sampling rate (ē´kw&l er´&r rāt) (n.) Equal error rate is abbreviated
Crossover Error Rate Calculation
as EER. Equal error rate (EER) is a biometric security system algorithm used to predetermines the threshold values for equal error rate roc its false acceptance rate and its false rejection rate. When the rates are equal, the common value is referred to as the equal error rate. The value indicates that the proportion http://www.biometric-solutions.com/glossary.php?term=Crossover%20Error%20Rate of false acceptances is equal to the proportion of false rejections. The lower the equal error rate value, the higher the accuracy of the biometric system. Equal error rate may also be referred to as a crossover rate or crossover error rate (CER). PREVIOUSEERNEXTeffects animation Related Links A Method of Estimating the Equal Error Rate - PDF TECH RESOURCES FROM OUR PARTNERS WEBOPEDIA WEEKLY http://www.webopedia.com/TERM/E/equal_error_rate.html Stay up to date on the latest developments in Internet terminology with a free weekly newsletter from Webopedia. Join to subscribe now. LATEST ARTICLES 8 Agenda Apps to Help Students Stay Organized Webopedia's student apps roundup will help you to better organize your class schedule and stay on top of assignments and homework. Read More » List of Free Shorten URL Services A URL shortener is a way to make a long Web address shorter. Try this list of free services. Read More » Top 10 Tech Terms of 2015 The most popular Webopedia definitions of 2015. Read More » STUDY GUIDES Java Basics, Part 1 Java is a high-level programming language. This guide describes the basics of Java, providing an overview of syntax, variables, data types and... Read More » Java Basics, Part 2 This second Study Guide describes the basics of Java, providing an overview of operators, modifiers and control Structures. Read More » The 7 Layers of the OSI Model The Open System Interconnection (OSI) model defines a networking framework to implement protocols in seven layers. Use this handy guide to compare... Read More »
Upload Documents Write Course Advice Refer your Friends Earn Money Upload Documents Apply for Scholarship Create Q&A pairs Become https://www.coursehero.com/file/p5a4511/Crossover-Error-Rate-The-crossover-error-rate-CER-is-the-point-at-which-Type-I/ a Tutor Find Study Resources by School by Literature Guides by Subject Get Instant Tutoring Help Ask a Tutor a Question Use Flashcards View Flashcards Create Flashcards Earn by Contributing Earn Free AccessLearn More > Upload Documents Write Course Advice Refer your Friends Earn MoneyLearn More > Upload Documents Apply for Scholarship Create Q&A pairs Become a Tutor error rate Are you an educator? Log in Sign up Home American Public University INFORMATIO INFORMATIO ISSC 364 Ballad_2011_Ch09 Crossover error rate the crossover error rate cer is SCHOOL American Public University COURSE TITLE INFORMATIO ISSC 364 TYPE Notes UPLOADED BY Huzul PAGES 24 Click to edit the document details This preview shows pages 11–13. Sign up to view equal error rate the full content. View Full Document Crossover Error Rate The crossover error rate (CER) is the point at which Type I errors and Type II errors are equal, as shown in Figure 9-2. All biometric systems can be calibrated to reduce either the false acceptance or false rejection rates to near zero. Unfortunately, calibrating the system to reduce or eliminate Type I errors generally raises the rate of Type II errors. A biometric system could be calibrated such that the sensitivity is turned all the way down, so that it accepts everyone. Of course, this would produce a large number of false positives, but zero false negatives. Likewise, the sensitivity could be turned all the way up so that the system doesn’t accept anyone, eliminating the false positives but producing a large number of false negatives. The CER is an accurate way to compare the real accuracy of various biometric systems. The smaller the CER, the more accurate it is. In other words, a system with a CER of 3 pe