To implement a user's application with fingerprint authentication and verification, the SDK includes a library and driver software.

Steps for fingerprint authentication

Step 1 Acquire optimized fingerprint image from a sensor.    Step 2 Get minutiae data by calculating fingerprint image. Then extract the quality level.    Step 3 Verify registered minutiae data with acquired minutiae data. Then return theresult.

Minutiae matching

High quality of matching software achieves False Rejection Rate (FRR) of 0.1% and False Acceptance Rate (FAR) of 0.001%. Minutiae data is only used for matching thus privacy is secured.

Dry-fingers and wet-fingers

The auto-gain-control software supports both dry-fingers and wet-fingers.

The quality of minutiae data

The quality of enrolled fingerprint data is translated into percentage that represents a level of quality visually.

The level of security

The security level is to set variable from low to high (5 level).

Support any angle of finger placement

A fingerprint authentication technology supports 360-degree and any angle finger placement.

Small size of minutiae data

The data size of minutiae is designed 120 to 360 bytes. The data is encrypted thus a fingerprint image can not be restored and be secured.

Requirements
CPU	Pentium II (233MHz) or higher
Memory	Min. 32MB
HDD capacity	Min. 10MB
Support OS	Windows 95/98 (SE) / Me, Windows NT4.0, Windows 2000,Windows XP
Availability	FIC-200, FUS-200N, MUSB200-COMBO, FM-200USB
Support language	Microsoft Visual C/C++ 6.0
Contents	CD-ROM, Manual

*	FUS-200N, MUSB200-COMBO and FM-200USB does not support Windows 95 and Windows NT4.0.
*	The DF-SDK dose not indude a fingerprint reader. The fingerprint readers may be purchased separately.
*	It may sometime be difficult to enroll and verify fingerprint for authentication due to physical conditions. Please contact us to solve the problems.
*	Specifications are subject to change.
*	Microsoft, Windows, Windows NT and Visual C++ are trademarks of Microsoft Corporation worldwide.