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BIOMETRICS COMPARISON CHART
 
Biometric Verify ID Accuracy Reliability Error Rate Errors False Pos. False Neg.
Fingerprint Yes Yes Very High High 1 in 500+ dryness, dirt, age Ext. Diff. Ext. Diff.
Facial Recognition Yes No High Medium no data lighting, age, glasses, hair Difficult Easy
Hand Geometry Yes No High Medium 1 in 500 hand injury, age Very Diff. Medium
Speaker Recognition Yes No Medium Low 1 in 50 noise, weather, colds Medium Easy
Iris Scan Yes Yes Very High High 1 in 131,000 poor lighting Very Diff. Very Diff.
Retinal Scan Yes Yes Very High High 1 in 10,000,000 glasses Ext. Diff. Ext. Diff.
Signature Recognition Yes No Medium Low 1 in 50 changing signatures Medium Easy
Keystroke Recognition Yes No Low Low no data hand injury, tiredness Difficult Easy
DNA Yes Yes Very High High no data none Ext. Diff. Ext. Diff.


Biometric Security
Level		 Long-term
Stability		 User
Acceptance		 Intrusive Ease of Use Low Cost Hardware Standards
Fingerprint High High Medium Somewhat High Yes Special, cheap Yes
Facial Recognition Medium Medium Medium Non Medium Yes Common, cheap ?
Hand Geometry Medium Medium Medium Non High No Special, mid-price ?
Speaker Recognition Medium Medium High Non High Yes Common, cheap ?
Iris Scan High High Medium Non Medium No Special, expensive ?
Retinal Scan High High Medium Very Low No Special, expensive ?
Signature Recognition Medium Medium Medium Non High Yes Special, mid-price ?
Keystroke Recognition Medium Low High Non High Yes Common, cheap ?
DNA High High Low Extremely Low No Special, expensive Yes
 
     Aspect descriptions:
 
Verify Whether or not the Biometric is capable of verification. Verification is the process where an input is compared to specific data previously recorded from the user to see if the person is who they claim to be.
 
ID Whether or not the Biometric is capable of identification. Identification is the process where an input is compared to a large data set previously recorded from many peopleto see which person the user is.
 
Accuracy How well the Biometric is able to tell individuals apart. This is partially determined by the amount of information gathered as well as the number of possible different data results.
 
Reliability How dependable the Biometric is for recognition purposes.
 
Error Rate This is calculated as the crossing point when graphed of false positives and false negtives created using this Biometric.
 
Errors Typical causes of errors for this Biometric.
 
False Pos. How easy it is to create a false positive reading with this biometric (someone is able to impersonate someone else).
 
False Neg. How easy it is to create a false negative reading with this biometric (someone is able to avoid identification as oneself).
 
Security Level The highest level of security that this Biometric is capable of working at.
 
Long-term Stability How well this Biometric continues to work without data updates over long periods of time.
 
User Acceptance How willing the public is to use this Biometric.
 
Intrusiveness How much the Biometric is considered to invade one's privacy or require interaction by the user.
 
Ease of Use How easy this Biometric is for both the user and the personnel involved.
 
Low Cost Whether or not there is a low-cost option for this Biometric to be used.
 
Hardware Type and cost of hardware required to use this Biometric.
 
Standards Whether or not standards exist for this Biometric.
 
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