Advanced and secure biometric technology is finally reaching smartphone users, closing the gap between the need for fast biometric authentication and the general unavailability of such technology for individual use.
– Biocapture allows enrollment to databases and performs authentication against “rolled” digital samples and “flatbed” scans
– Autocalibration feature
– Users can perform self-thumb scanning in unattended scanning scenarios
– Selection of single- or multi-finger capturing, missing fingers can be omitted from the scanning process
– Offline matcher is available on request with a limited number of prints
– Proven liveness detection – does not capture from photos or video
– A built-in visual quality assessment feature shows a live preview of the fingerprint quality, based on NIST NFIQ 2.
Android
– Android 7.0 (API Level 24) or higher
– 4 Core CPU, ARM64-v8a (8 Core recommended)
– 4Gb RAM (6Gb recommended )
– Minimum 6MP+, API 2 back camera
– LED Light
– Auto-Focus capable
Apple iPhone
– iPhone 7 and newer
Output Format Support
Output Format Support
– WSQ
– JPEG 2000
– Custom Bitmap Format
– NIST (Typ 14) on iOS (Android on request)
– NFIQ2
AFIS Support
– Biocapture has been tested against common FP matcher and AFIS databases
– Standard NIST formats such as WSQ or JPEG2000 support
– Bitmap output format support for custom integration and projects
– Support of 500 and 1000 dpi output images (1000 dpi depending on hardware performance and camera) WSQ or JPEG2000
– Support opensource free matcher and AFIS systems (available soon)