Category | Certification Criteria | |||
---|---|---|---|---|
Fingerprint Recognition |
1% or below (3 out of 4 databases constructed per sensor must have an EER of 1% or lower) |
|||
Facial Recognition |
Lighting | Expression | Pose | Accessories |
1% below | 2% below | 2% below | 1.5% below | |
Dorsal Hand Vein Recognition |
Type A (Fixed): 1% or below | Type B (Dynamic): 1.5% or below | ||
Finger Vein Recognition |
Type A (Fixed): 1% or below | Type B (Dynamic): 1.5% or below | ||
Iris Recognition | Type A (Direct Gaze): 1% or below | Type B (Oblique Gaze): 1.5% or below |
Modality | Details |
---|---|
Face |
|
Fingerprint |
|
Dorsal Hand Vein |
|
Finger Vein |
|
Iris |
|
Common Configuration |
|
Category | Scenario A | Certification Criteria | |
---|---|---|---|
Paper, OHP | Silicone A, B, C, D, Gelatin, Conductive Rubber, Clay | ||
Grade1(Excellent) | FTE Less than 5% FTA Less than 5% |
Individual SAR* Less than 1% |
SAR per Sample: Less than 70% |
Grade2(Ordinary) | SAR per Sample: Less than 20% | ||
Common | ※ The certification criteria applied to SAR for each sample, not the overall average of samples. |
* SAR(Spoofing Acceptance Rate): The rate at which fake biometric registration and authentication are judged as genuine biometric data.
No. | Production Equipment | Sample | Color | Moisture Content |
---|---|---|---|---|
1 | Printer | Papers for ink-jet printer only | White | 80~100% |
2 | OHP(Film FLP 100) | Transparent | 80~100% | |
3 | Printer, Laser Printer |
Silicone A(PlatSil Gel-10) | Transparent | 0~20% |
4 | Silicone B(Body Double) | Blue | 0~20% | |
5 | Silicone C(Eco Flex 0050) | Apricot | 0~20% | |
6 | Silicone D(Dragon Skin FX Pro) | Apricot | 0~20% | |
7 | Gelatin | Apricot | 40~60% | |
8 | Conductive Rubber | Black | 0~10% | |
9 | Clay | Random | 65~85% | |
Common | ※ Obtaining and creating fingerprints of the thumb, index finger and middle finger of both hands |
※ For preliminary testing, the number of personnel and test samples may vary depending on the wear and tear of consumable samples.
※ For the main testing, five individuals are selected from a list of expert evaluators, considering factors such as gender, age, and fingerprint quality (minimum NIST Fingerprint Image Quality Assessment Level 2).