Biometric identification and verification

Abstract

In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.

1 - 60 . (canceled) 
     
     
         61 . A method comprising:
 creating a database of match scores between unique impostor biometric sample pairs;   creating, using a processor, a cumulative histogram data table that records, for each possible match score value, a number of match scores observed greater than the value divided by a total number of samples;   using the cumulative histogram data table to determine a threshold;   selecting a desired false match rate and determining the threshold that will result in the desired false match rate;   determining a false match probability level; and   setting the threshold in a biometric system at least based on the determined false match probability level.   
     
     
         62 . A method comprising:
 creating a database of match scores between unique genuine biometric sample pairs;   creating, using a processor, a cumulative histogram data table that records, for each possible match score value, a number of match scores observed greater than the value divided by a total number of samples;   using the cumulative histogram data table to determine a threshold;   selecting a desired false non-match rate and determining the threshold that will result in the desired false non-match rate; and   determining a false match probability level; and   setting the threshold in a biometric system at least based on the determined false match probability level.   
     
     
         63 . A non-transitory computer readable information storage media having stored thereon instructions, that when executed by one or more processors, cause to be performed a method comprising:
 creating a database of match scores between unique impostor biometric sample pairs;   creating, using a processor, a cumulative histogram data table that records, for each possible match score value, a number of match scores observed greater than the value divided by a total number of samples;   using the cumulative histogram data table to determine the threshold;   selecting a desired false match rate and determining the threshold that will result in the desired false match rate;   determining a false match probability level; and   setting the threshold in a biometric system at least based on the determined false match probability level.   
     
     
         64 . A non-transitory computer readable information storage media having stored thereon instructions, that when executed by one or more processors, cause to be performed a method comprising:
 creating a database of match scores between unique genuine biometric sample pairs;   creating, using a processor, a cumulative histogram data table that records, for each possible match score value, a number of match scores observed greater than the value divided by a total number of samples;   using the cumulative histogram data table to determine a threshold;   selecting a desired false non-match rate and determining the threshold that will result in the desired false non-match rate; and   determining a false match probability level; and   setting the threshold in a biometric system at least based on the determined false match probability level.   
     
     
         65 . The method of  claim 61 , wherein impostor sample pairs are derived from two samples, each from a different source. 
     
     
         66 . The method of  claim 61 , wherein the value is the false match rate associated with each possible threshold. 
     
     
         67 . The method of  claim 61 , further comprising alerting a user to a resulting false match rate with the threshold in use based on actual results using the gallery samples in use. 
     
     
         68 . The method of  claim 62 , wherein impostor sample pairs are derived from two samples, each from a different source. 
     
     
         69 . The method of  claim 62 , wherein the value is the false match rate associated with each possible threshold. 
     
     
         70 . The method of  claim 62 , further comprising alerting a user to a resulting false match rate with the threshold in use based on actual results using the gallery samples in use. 
     
     
         71 . The media of  claim 63 , wherein impostor sample pairs are derived from two samples, each from a different source. 
     
     
         72 . The media of  claim 63 , wherein the value is the false match rate associated with each possible threshold. 
     
     
         73 . The media of  claim 63 , further comprising alerting a user to a resulting false match rate with the threshold in use based on actual results using the gallery samples in use. 
     
     
         74 . The media of  claim 64 , wherein impostor sample pairs are derived from two samples, each from a different source. 
     
     
         75 . The media of  claim 64 , wherein the value is the false match rate associated with each possible threshold. 
     
     
         76 . The media of  claim 64 , further comprising alerting a user to a resulting false match rate with the threshold in use based on actual results using the gallery samples in use.