Portal Challenge Prob

Multiple Biometric Grand C

Preliminary Results of Ve
Portal Challenge Goals

– Develop multi-modal algorithms

• Iris, face, video

– Robust

• Failure to acquire• Non-ideal biometric samples

– Portal technology

• Stand off screening• Improving this class of applications 
Meet the Sensors
Meet the LG 2200

LG EOU2200

• Take 3 iris images• One above quality threshold• Save all three

Sufficient 

Quality

MBGC Iris Acquisition System
Meet the Portal
Meet the Portal

High 

Definition 

(HD) Video 

Camera

Near Infrared 

(NIR) Video 

Cameras
Meet the Portal

Near Infrared (NI

12

ac

2k

2k
Meet the Experime

Target Data Samples Query 
Experiment:Still Face Images vs. HD Video

Target Query

Matching

Uncontrolled

Face Still1785

Matching

Controlled

Face Still

1426 Images

Uncontrolled

Face Still

1785 Images

High DefHigh Def
Experiment: Still Face Images vs. NIR Video

Target Query

Matching

Matching

Controlled

Face Still

1426 Images

Uncontrolled

Face Still

1785 Images

Near INear I
Experiment: Iris Stills vs. NIR Video

Target Query

Matching

Iris Stills

4025 Images

Near Infrared 

571 
Experiment: Iris Videos vs. NIR Portal Video

Target Query

Matching

LG 220 Still LG 2200 

Video

450 Sequences

Near Infrared 

571 
Experiment: Controlled Face & Iris Still vs. HD & NI

Target Query

Matching

Left / Right Iris 

Still

Controlled

Face Still

1426

Iris Stills

Controlled

Face Still

11,442 Images

Ne

High 

Near Inf
Experiment: Uncontrolled Face & Iris Still vs. HD & 

Target Query

Matching

Iris Stills

Uncontrolled

Face Still

14,115 Images

High 

Near Inf
Target Query

Near Infrar

Iris Still

Face Stills vs. 

HD Video / NIR Video

Iris Video

Near Infrare

Iris Stills vs. NIR Video

Face Still

Iris Video vs. NIR Video 

N

Hig

Fusion:Still Face & Iris Stills vs. NIR & HD

Iris Still Face Still

N

Hig
List of participants

Organizations

Clarkson, West Virginia, Tennessee KnoxvCognitecDalian University of TechnologyLockheed MartinNeurotechnologyPittsburgh Pattern RecognitionSagem Sécurité University of SurreyTELECOM SudParis Toshiba Corporation Vilnius University 
And now the results 

MBGC V2 Port

Challenge....
Experiment:Still Face Images vs. HD Video

Target Query

Matching

Uncontrolled

Face Still1785

Controlled

Face Still

1426 Images

High Def
Experiment – Controlled Fac

V

Loc

Neu

S

Co

To

D

S

P

Dali
Experiment:Still Face Images vs. HD Video

Target Query

Matching

Uncontrolled

Face Still

1785 Images

High Def

Uncontrolled

Face Still1785
Experiment – Uncontrolled F

Sud

V

D

S

To

S

Lock

P

Dalia
Experiment: Visible Light Images vs. NIR Video

Target Query

Matching

Matching

Controlled

Face Still

1426 Images

Uncontrolled

Face Still

1785 Images

Near INear I
Experiment – Still Face vs. N

Lockheed Martin
Experiment: Iris Stills vs. NIR Video

Target Query

Matching

Iris Stills

4025 Images

Near Infrared 

571 
Missing Irises in NIR

Example of Missing Ri

• Missing Irises

– Left eye: 3– Right eye: 25

• Initial Analysis

– Left eye only

• One goal is measuring fusion performance

– Right eye later– Appropriate scoring
V

Lockh

Neuro

Vil

Sag

Experiment – Iris Stills vs. NI
Experiment: Controlled Face & Iris Still vs. HD & NI

Target Query

Matching

Left / Right Iris 

Still

Controlled

Face Still

1426

Iris Stills

Controlled

Face Still

11,442 Images

Ne

High 

Near Inf
0.5

0.60.70.80.9

1

Face Iris Fusion

0.50.60.70.80.9

1

Face Iris Fusion

Verification rates at FAR = 0.01 

Neurotech Lockheed 
Experiment: Uncontrolled Face & Iris Still vs. HD & 

Target Query

Matching

Iris Stills

Uncontrolled

Face Still

14,115 Images

High 

Near Inf
Lockheed

Verification rates at FAR = 0.01 

0.50.60.70.80.9

1

Face Iris Fusion

0.50.60.70.80.9

1

(NA) Iris Fusion

Neurotech 
Summary

• Controlled Face 

– .99+ VR @ FAR=0.01 for multiple ve

• Uncontrolled Face 

– .95+ VR @ FAR=0.01 for Pittsburgh 

Recognition.

• Iris

– .90+ VR @ FAR=0.01 for multiple p

• Cross-mode face is challenging.• Fusion helps.

– Especially for uncontrolled face.– .99+ VR@FAR=0.01 for Controlled – .95+ VR@FAR=0.01 for Uncontrolle