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VeriFinger Embedded SDK System Requirements

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VeriFinger Embedded SDK
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  • A smartphone or tablet or other device that is running Android 2.2 (API 8) OS or newer.
  • ARM-based 1 GHz processor recommended for fingerprint processing in less than 1 second. Slower processors may be also used, but the fingerprint processing will take longer time.
  • At least 20 MB of free RAM should be available for the application. Additional RAM is required for applications that perform 1-to-many identification, as all biometric templates need to be stored in RAM for matching. For example, 1,000 templates (each containing 2 fingerprint records) require about 2 MB of additional RAM.
  • Free storage space (built-in flash or external memory card):
    • 30 MB required for VeriFinger Embedded components deployment for each separate application.
    • Additional space would be required if an application needs to store original fingerprint images. VeriFinger Embedded does not require the original fingerprint image to be stored for the matching; only the templates need to be stored.
  • Fingerprint reader (optional). VeriFinger Embedded is able to work with several supported fingerprint readers. Integrators may also use image files or receive image data from external devices like flatbed scanners or other stand-alone cameras. These fingerprint readers are supported:
  • Network connection. A VeriFinger Embedded-based application may require network connection for activating the VeriFinger Embedded component licenses. See the list of available activation options in the licensing model for more information. Also, network connection may be required for client/server applications.
  • PC-side development environment requirements:
    • Java SE JDK 6 (or higher)
    • Eclipse Indigo (3.7) IDE
    • Android development environment (at least API 8 required)
    • Maven 3.0.3
    • Internet connection for activating VeriFinger Embedded component licenses
Products
AFIS or multi-biometric fingerprint, iris, face and voice identification for large-scale systems.
MegaMatcher

Face identification for PC or Web solutions.
VeriLook

Fingerprint identification for PC and Web solutions.
VeriFinger

Iris identification for PC and Web solutions.
VeriEye

Speaker recognition for PC or Web applications.
VeriSpeak

Object recognition for robotics and computer vision.
SentiSight

SDKs for mobile devices:

More products for developers:

End-user products:
  • NCheck Finger Attendance – an attendance control application that uses fingerprint biometrics to perform employee identification.
  • NVeiler Video Filter – a plug-in for VirtualDub that automatically detects faces in a frame, tracks the faces (or other objects) in subsequent frames and hides them.
 
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