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Nov 30, 2013 (3 years and 7 months ago)

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ForSe Overview

Forensics and Security Laboratory (ForSe Lab)

School of Computer Engineering

Nanyang Technological University

‹#›

Mission of ForSe Lab


To create a synergistic group dedicated to research in the
application of computational techniques to biometrics,
information security and forensic analysis.



To perform cutting edge research and train and develop
talents to support Singapore’s efforts in the areas of
Homeland Security and Infocomm Security.



To make use of strong research base to further enhance the
research contributions from NTU to the international arena
in the areas of forensic and security.


‹#›

Vision of ForSe lab


To be one of the major research labs/centres for
research and development in the areas of forensics,
biometrics, and security technologies.



To be a strong research arm between academic and
industry to support R&D activities in forensics and
security for Singapore.


‹#›

Facts and Figures


Established in late 2005.


6 active faculty members, 1 research assistant,
1 lab executive, 11 PhD students.


6 funded projects with total amount over
S$500K.


Supports
approximately 10
-
15 Final Year
Projects every academic year


‹#›

Research Funding Award


InfoComm Research cluster, NTU



Institute for Infocomm Research (I2R)


Joint
Collaboration Project with I2R



Three Academic Research Fund Tier 1, Ministry of
Education, Singapore



MINDEF
-
NTU Joint R&D project


‹#›

Active Members








David Cho (Asst Prof)

Director








Maylor Leung

(Assoc Prof)








Vinod Prasad

(Asst Prof)








Adams Kong

(Asst Prof)







Sudha Natarajan


(Asst Prof)








Li Fang (Lecturer)
















‹#›

Our Knowledge/Expertise


Pattern Recognition


Machine Learning


Digital Signal Processing


Image Processing


Embedded System


Information Security


Software Engineering

‹#›

Research Focused Areas

Forensics and Security Lab
Forensic Analysis
Biometrics and
Security
Information
Security
Forensic analysis of
digital evidence
images
Forensic analysis of
speaker voice
Forensic analysis of
image forgery
Forensic examination
of digital devices
Hand and Facial
Thermal pattern
analysis
Palmprint, Face, Iris
and Ear recognition
Human action
analysis for video
surveillance
Smart hidden weapon
detection
Digital Content
Protection
Digital Crime Scene
Reconstruction
Traffic Flow
Monitoring and
Modeling
Human Behavior
Analysis
‹#›

Key Contributions


Forensic
Analysis


Hand Vein Pattern Analysis



Speaker Identification


Acoustic

Voice Feature



Image Forgery Detection



Skin and/or Hair Analysis


‹#›

Key Contributions


Biometrics
Technology


Facial Thermal pattern analysis



Palmprint recognition



Face recognition



Iris recognition



Ear recognition

‹#›

Key Contributions


Security
Engineering


An Embedded Camera System for Vision Based
Surveillance



Hidden Weapon Detection




Human behaviour and brain analysis


EEG Signal Analysis


Emotion Recognition



Configurable
Preprocessing
Architecture
Camera
Vision-based
surveillance
framework
SmartEye system
‹#›

Future Plans in ForSe Lab


To extend and build more research activities with the
research areas of the lab to attract external funding.


To focus our staffs to prepare and submit major research
proposals to several funding agencies, such as, AcRF, A
-
Star,
DSTA, DSO,…etc.


To collaborate with other major organizations, such as, I2R,
Singapore Police Force, MHA and also some companies in
security industry, …etc.


To continue our excellent tradition of publishing our new
discoveries and theories in renowned journals,
conferences,…etc.



‹#›

Collaborators


International


Prof. Graham Leedham, Dean of School, University of New England, Australia


Prof. M. Kamel, IEEE Fellow, University of Waterloo, Canada


Dr. Noah Caft, MD, PhD, Assistant Professor, UCAL, USA


Prof. D. Zhang, IEEE Fellow, The Hong Kong Polytechnic University, HK


Prof. Tommy Chow, City University of Hong Kong


Local


Dr. Li Haizhou, Dr Guan Cuntai and Dr. Vladimir Pervouchine, Institute of
Infocomm Research (I2R)


Dr. TAY Ming Kiong Michael , Director, Physical Evidence Division, Applied
Sciences Group


Ms. LIM Chin Chin, Head, Criminalistics Laboratory, Centre for Forensic
Science


Dr. LOH Tsee Foong, MD, Head and Senior Consultant, KK Women’s and
Children’s Hospital


Dr. James Wong (Application Architect), PCS Security Pte Ltd

‹#›

Recent Publication


L. Wang, G. Leedham and
Siu
-
Yeung Cho
, "Minutiae Feature Analysis for Infrared Hand Vein
Pattern Biometrics",
Pattern Recognition
(
JCR impact factor: 3.279
), 41 (3), pp. 920
-
929,
2008.


Lingyu Wang, Graham Leedham and
Siu
-
Yeung Cho
, “A Physiological Vein Pattern Biometric
System”,
HKIE Transactions
, vol. 15, iss. 4, Dec. 2008 (shortlisted paper for
The HKIE
Outstanding Paper Award for Young Engineers/Researchers 2008
).


L. Wang, G. Leedham and
S.
-
Y. Cho
, "Infrared imaging of hand vein patterns for biometric
purposes",
IET Computer Vision
(
JCR impact factor: 0.667
), vol. 1, Iss. 3
-
4, pp. 113
-
122,
Dec. 2007.


Siu
-
Yeung Cho
, Lingyu Wang and Wen Jin Ong, “Thermal Imprint Feature Analysis for Face
Recognition”, in
IEEE International Symposium on Industrial Electronics 2009
, July
2009, Seoul, Korea.


Haishan Zhong,
Siu
-
Yeung (David) Cho
, Vladimir Pervouchine, Graham Leedham,
“Combining Novel Acoustic Features using SVM to Detect Speaker Changing Points”,
BIOSIGNALS

(1) 2008: 224
-
227.


N.B. Puhan and
N. Sudha
, "A novel iris database indexing method using the iris color",
Proceedings of the IEEE International Conference on Industrial Electronics and Applications,

Singapore, June 2008.

‹#›

Thank you!

‹#›

Hand
-
vein pattern analysis


A vein pattern refers to the vast network of blood vessels underneath the skin of a
certain part of a person’s body


Images captured in an air
-
conditioned office environment (20
-
25
°
C and <50%
humidity)


FIR Image of Back of hand imaged in a normal office environment



major veins are clearly visible

NIR images of the palms of two hands

NIR images of the back of the hand (left) and the wrist (right)

‹#›

Hand
-
vein pattern analysis



We have proposed a system that recognizes the human hand
vein pattern images acquired by both far and near
-
infrared
camera, which consists of five individual stages


Image

Acquisition

Vein Pattern

Segmentation

Skeletonization

Shape

Match

Decision

Raw

Images

Finer

Images

Database

Vein

Pattern

Template

Image

Enhancement

&

ROI Selection

Data Collection

Vein Pattern Extraction

‹#›

Results

Skeleton and Minutiae Points of the Vein Pattern

Error Rate Curves for Minutiae
Recognition Using the Modified
Hausdorff Distance (EER=7.5% when
the threshold is set to 25)

Return

‹#›

Image Forgery Detection


With the advent of low
-
cost and high
-
resolution digital
cameras, and sophisticated photo editing software, digital
images can be easily manipulated and altered.


create
forgeries
, which are indistinguishable by naked eye

(a) Real image; (b) Forged version; (c) Duplicated regions

Return

‹#›

Skin Analysis

Skin marking system

Data collection system

Return

‹#›

Principles of Thermal Facial

Patterns for Biometrics


The convective heat transfer from the flow of warm arterial blood in
superficial vessels is at a temperature gradient against the cooler
surrounding tissue



Creating a characteristic thermal imprint on our face


This thermal pattern provides an alternative feature sets in addition to
those visible features for face recognition

P. Buddharaju,et. al, “Physiology
-
Based face Recognition in the Thermal Infrared Spectrum”,

IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29 no.4, pp. 613
-
626, April 2007.

‹#›

Database


Data Collection


Thermal face images can be formed by capturing the temperature
profile by the NEC TH9100SL thermal camera


Grayscale images with a resolution of 320x240 are used.



Database provided by Equinox Corporation.


Frontal thermal face dataset


300 images from 30 different subjects (10 images for each subjects).

‹#›

Face Segmentation

(b) Edge detection with small
objects removed

(c) Centre portion of the image is
flood filled

(d) Difference Image

(f) Contrast adjusted

(a) Image after enhancement

(e) Mask is multiplied with the image

‹#›

Extracting Thermal Minutiae Points


Use morphological top
-
hat operation to obtain the critical
edge map



Then extract the minutiae points by the cross numbering
concept.

(a) Thermal face region

(b) Critical edge map

(c) Minutiae points

1
9
8
1
1
,
|
|
P
P
where
P
P
N
i
i
i
trans






S
S
I
I
open



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(
,
open
top
I
I
I


‹#›

Matching the Aligned TMPs


Using the same MHD measurement


Achieved 6.7% EER

Return

‹#›

Ear Recognition


Rationale:


Earmarks can be used as a
biometric, but a computerized
system for earmarks
identification does not existed.


The structure of the ear does
not change radically over time,
especially after the first four
months of birth.

‹#›

Ear Recognition


Current work:


Build a ear profile database of 38 individuals (will be extended the
number later)


Implement an automatic ear detection, localization and recognition
system


A 11% Equal
-
Error
-
Rate is achieved.

Return

‹#›

Concealed Weapon Detection


Objective:
to find out the feasibility of software based image processing
techniques in detecting concealed weapons with infrared (IR) thermal
imager without violating the privacy of the people involved
.

Visible image

IR image

Fused IR image

NEC Thermo Tracer

‹#›

Concealed Weapon Detection


On
-
going works:


Fuzzy clustering of IR images


Advanced image registration methods


Intelligent and decision based image fusion


Robust shape matching


Collaborating with EEE staffs to work with IR and MMW image sensing

Return

‹#›

Human behaviour and brain

analysis


Emotion Recognition

Potential applications:



Lie detection for forensics



Crime investigation



Understanding Criminal Psychology

Typical real
-
time facial expression system

Return