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prototype LTVS, we selected the facial biometrics becasue it was readily available in the design laboratory during the design phase and was already a popular identity veri cation technology With the new HIPAA security standards mandating higher healthcare protection of digital information, facial biometric veri cation seemed to be the best means of protecting against unauthorized use or disclosure In the case of surgical patient identi cation, as discussed in 24, because a patient is in static mode most of the time, nger print scanning is the method of choice This example will be revisited in a later section Many of facial biometric veri cation algorithms rely on the special relationship between nodal points on the face such as eyes, nose, mouth, chin, and others.

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Testing Cube Corner and Right-Angle Prisms In their retro-re ective con guration, if the right angles of cube comer and rightangle prisms are exact without any error, they re ect an incident plane wavefront as a single emerging plane wavefront Otherwise the re ected wavefront consists of several plane wavefronts with different tilts, making possible the measurement of the prism errors Because of the total internal re ection, the intensity of re ected light from these prisms is very high, nearly 100% Since the reference at is not coated, the fringes will have a poor contrast To optimize the fringe contrast, either the re ectivity of the optical element under test also has to be low or the amplitude of the beam under test has to be attenuated.

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The facial biometrics recognition software uses an advanced software that calculates and analyzes landmark positions and features on a face to verify a person s identity (Fig 274) We used a prepared database photo gallery of healthcare staff members and pre- or on-site patient regiatration images, as the facial biometrics recognition system can identify the person detected on the distributed video cameras system in the clincial environment LTVS uses a software development toolkit (SDK) (Nevenvision, Inc, San Diego, CA) integrated into the application that can register multiple-photo galleries of people and perform facial biometric veri cation simultaneously at multiple clinical workstations using simple PC webcams To keep the image galleries and processing on a single protected LTVS server, each client workstation utilized image-capturing software that would send real-time images from satellite workstations back to the LTVS server for display or processing.

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Using a PC-based webcam and small image transfer software, clinical workstations already within the clinical environment can be utilized as LTVS client workstations that can perform robust matching of facial images with medical record numbers prior to authorizing access or treatment Figure 274 depicts the SDK system to identify a person based on facial relationship between nodal points to identify a person with a pre-established gallery..

You can cycle between the tools in the pop-up menu by Alt-clicking a tool icon. Pressing the key that appears to the right of the tool names also does the trick however, depending on a tool setting that you establish in the Preferences dialog box, you may need to press Shift with the key. (See the upcoming section General preferences. )

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