Fingerprinting was selected as test bed for this new metrology because of its worldwide prevalence and acceptance of this new metrology would provide a similar metrology model for other biometric recognition technologies, such as face, iris, palm print, etc.įuture work includes the development of the measurement uncertainty analyses for image capture, feature extraction, and fingerprint matching the development of electronic artifacts for assessment of feature extraction and matching algorithms and the development of 3D physical artifacts for assessing image capture fidelity that can operate with any fingerprint capture device, thus supporting the assessment of the interoperability between reader modalities.įigure 1. The Security Technologies Group initiated the development of the metrologies to address the performance of each of the three primary fingerprint functions of image capture, feature extraction, and matching. Feature extraction and matching are algorithmic. The optical readers can be both contact and noncontact. Image capture is provided by several different technologies, including electrical, optical, and the standard rolled ink prints. Fingerprinting technology comprises three primary functions: image capture, feature extraction, and matching. This will support the development and advancement of fingerprinting technology, promoting its further employment, and ensuring products meet the technical requirements of the end user. Fingerprint recognition systems (verification (1:1 comparison) and identification (1:N comparison)) are a commodity, creating a need to develop the metrology to assess the performance of the different components of the fingerprint recognition/identification process. Fingerprints are used to enroll populations into social services, allow individuals to access personal electronic devices, allow building and site access, and as a means for criminal investigation.
Fingerprints are the most commonly used biometric trait worldwide.
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