forse short overview

8/6/2019 ForSe Short Overview

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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 developtalents to support Singapores efforts in the areas of

Homeland Security and Infocomm Security.

To make use of strong research base to further enhance theresearch contributions from NTU to the international arena

in the areas of forensic and security.


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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.


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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 YearProjects every academic year


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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)


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Our Knowledge/Expertise

Pattern Recognition

Machine Learning

Digital Signal Processing

Image Processing

Embedded System

Information Security

Software Engineering


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Research Focused Areas

Forensics and Security Lab

Forensic AnalysisBiometrics and

Security

Information

Security

Forensic analysis of

digital evidence

images


speaker voice


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 SceneReconstruction

Traffic Flow

Monitoring and

Modeling

Human Behavior

Analysis


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Key Contributions Forensic

Analysis

Hand Vein Pattern Analysis

Speaker Identification

Acoustic Voice Feature

Image Forgery Detection

Skin and/or Hair Analysis


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Key Contributions Biometrics

Technology

Facial Thermal pattern analysis

Palmprint recognition

Face recognition

Iris recognition

Ear recognition


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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

PreprocessingArchitecture

Camera

Vision-based

surveillanceframework

SmartEye system


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Future Plans in ForSe Lab

To extend and build more research activities with theresearch 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 newdiscoveries and theories in renowned journals,

conferences,etc.


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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 ofInfocomm 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 Womens and

Childrens Hospital

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


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Thank you!


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Hand-vein pattern analysis

A vein pattern refers to the vast network of blood vessels underneath the skin of acertain part of a persons body

Images captured in an air-conditioned office environment (20-25C and


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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

SegmentationSkeletonization

Shape

Match

DecisionRawRaw

ImagesImages

FinerFiner

ImagesImages

Database

VeinVein

PatternPattern

TemplateTemplate

Image

Enhancement

&

ROI Selection

Data Collection Vein Pattern Extraction


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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)

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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


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Skin Analysis

Skin marking system Data collection system

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Principles of Thermal Facial

Patterns for Biometrics

The convective heat transfer from the flow of warm arterial blood insuperficial vessels is at a temperature gradient against the coolersurrounding 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.


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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).


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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


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Extracting Thermal Minutiae Points

Use morphological top-hat operation to obtain the criticaledge map

Then extract the minutiae points by the cross numbering

concept.

(a) Thermal face region (b) Critical edge map (c) Minutiae points

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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.

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Concealed Weapon Detection

Objective: to find out the feasibility of software based image processingtechniques 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


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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

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Human behaviour and brain

analysis Emotion Recognition

Potential applications:

Lie detection for forensics Crime investigation

Understanding Criminal Psychology

Typical real-time facial expression system

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