Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 27; no. 3; pp. 450 - 455
• Main Authors: Snelick, R., Uludag, U., Mink, A., Indovina, M., Jain, A.
• Format: Journal Article
• Language: English
• Published: Los Alamitos, CA IEEE 01.03.2005; IEEE Computer Society; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Artificial Intelligence; Authentication; Biometrics; Biometry - methods; Computer science; control theory; systems; Computer Simulation; Dermatoglyphics; Estimation error; Exact sciences and technology; face; Face - anatomy & histology; Feature extraction; fingerprint; Fingerprint recognition; Fingerprints; fusion; Gain; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Index Terms- Multimodal biometrics; Information Storage and Retrieval - methods; Intelligence; Large-scale systems; matching score; normalization; Pattern analysis; Pattern Recognition, Automated - methods; Pattern recognition. Digital image processing. Computational geometry; Performance gain; Reproducibility of Results; Sensitivity and Specificity; Spatial databases; State of the art; Subtraction Technique; Support vector machines; System performance; Biometrics; fusion; Fingerprint; face; matching score; Melting; normalization; Authentication; Standardization; Matching task; Multimodal biometrics

We examine the performance of multimodal biometric authentication systems using state-of-the-art commercial off-the-shelf (COTS) fingerprint and face biometric systems on a population approaching 1,000 individuals. The majority of prior studies of multimodal biometrics have been limited to relativel...