Validating a Biometric Authentication System: Sample Size Requirements

Authentication systems based on biometric features (e.g., fingerprint impressions, iris scans, human face images, etc.) are increasingly gaining widespread use and popularity. Often, vendors and owners of these commercial biometric systems claim impressive performance that is estimated based on some...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 28; no. 12; pp. 1902 - 1319
Main Authors:	Dass, S.C., Yongfang Zhu, Jain, A.K.
Format:	Journal Article
Language:	English
Published:	Los Alamitos, CA IEEE 01-12-2006 IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Applied sciences Artificial Intelligence Authentication Biometric authentication Biometrics Biometry - methods bootstrap Computer science; control theory; systems Computer Simulation Computer systems and distributed systems. User interface Confidence Confidence intervals Data Interpretation, Statistical Dermatoglyphics Error analysis error estimation Exact sciences and technology Face Fingerprint recognition Fingerprints Gaussian copula models Humans Iris Models, Statistical Pattern Recognition, Automated - methods Pattern recognition. Digital image processing. Computational geometry ROC confidence bands Sample Size Samples Software Statistical analysis Statistical methods Studies System performance Testing Biometrics Performance evaluation Validation Estimation error Fingerprint Statistical analysis Gaussian copula models Error estimation Sample size Biometric authentication bootstrap Modeling ROC confidence bands Bootstrapping Gaussian process Confidence User interface Facies Pattern analysis Artificial intelligence
Online Access:	Get full text
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