Cross-over Error Rate Calibration
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Equal Error Rate Matlab
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How To Calculate Crossover Error Rate
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 the full content. View Full Document Crossover Error Rate The crossover error rate (CER) is the point at biometric error rates 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 percent is more accurate than one with a CER of 5 percent. Failure to Enroll Rate All biometric systems require subjects to enroll, or present sample data, before they can use the system. As with a
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