ImagingGauge™ was designed to enable calibration of “face capture” imaging systems used for mugshots, licenses, photo IDs and passport photos. The 1 x 1 ft. target IMG-QA-90-5 was specifically designed for biometric applications that rely on facial recognition software or for mugshot image quality. Specifications for these systems have traditionally relied on subjective analysis of image quality. ImagingGauge™ enables objective quantification of image quality metrics and compliance with the latest NIST standards.
The latest revision of ANSI/NIST-ITL 1-2011 Update:2015 “Data Format for the Interchange of Fingerprint, Facial & Other Biometric Information” has included many specifications that allow for objective metrics for image quality. Download our whitepaper for detailed information on the use of ImagingGauge to evaluate compliance with the standard.
Benefits of compliance with NIST:
- Improve consistency of images uploaded to the federal image database
- Reduce the number of unacceptable images (and retakes) uploaded to the federal databases
- Provide clear image quality requirements to processing stations and system vendors
- Enable a framework to improve image quality requirements as necessary
- Improve the performance of facial recognition algorithms
Common image quality problems encountered with “face capture” images are shown below. ImagingGauge enables measurement and specification of these metrics to reduce subjectivity in image evaluations.
Quality Problem: Insufficient number of pixels to capture image detail
ImagingGauge Metric: Sensor Resolution
Quality Problem: Optics are not optimized to product sharp images
ImagingGauge Metric: Optical Efficiency and Functional Resolution
Quality Problem: Lighting is not uniform
ImagingGauge Metric: Uniformity
Quality Problem: Lighting is too bright or camera settings are incorrect
ImagingGauge Metric: Neutral Density
Quality Problem: Lighting is not sufficient or camera settings are incorrect
ImagingGauge Metric: Neutral Density
Quality Problem: Contrast too high
ImagingGauge Metric: Neutral Density
Quality Problem: Contrast too low
ImagingGauge Metric: Neutral Density
Quality Problem: Image has excessive noise
ImagingGauge Metric: Noise
Quality Problem: Colors are not accurate
ImagingGauge Metric: Optical Efficiency and Functional Resolution
Quality Problem: Neutral Color Balance
ImagingGauge Metric: Optical Efficiency and Functional Resolution