NEC biometric authentication Bio-IDiom...Biometric authentication technologies use physical features...

Introduction to Bio-IDiom

April, 2018

Safer City Solutions Division

Corporate Marketing Division

NEC

NEC biometric authentication Bio-IDiom

3 © NEC Corporation 2018

Wave of rapidly progressing digitization

10.4

15.4

30.4

7

7.3 7.7

0

5

10

15

20

25

30

35

2011 2015 2020

Number of IoT devices

billion

World population

billion

Progress of Digital Transformation


Digital Game changer＝

Changes through Digitization

Immense improvement in productivity

Emergence of unexpected competition


Empowering companies, industries, cities and people

People Cities

EnterprisesIndustries

Real world

Cyber world

Visualization

Analysis

Prescription

Adds new significance to people, things, and contexts

NEC’s Digital Transformation

Changes through Digitization


Authenticated with biometric features as the key you naturally possess.

Biometrics to become a common part of our daily lives.

No

carrying

No

waiting

No forgetting

No

passing

Trust and sharing

without passing of physical keys.

Access to services without

carrying IDs

Use of services

without waiting

Safe and secure credential that

can never be forgotten

Biometric authentication in our lives and society


Iris

Ear acoustic

Fingerprint/

Palmprint

NECの生体認証

Finger vein

Voice

NEC’s biometric authentication solutions

Face


Digital

A world with risks

NEC’s biometric authentication

NEC’s biometric authentication solutions

Bio-IDiom

A safe digital

environment for all

people


Instant authentication can generate trust

bring the world closer together.

Biometric authentication technologies use physical features

of face, iris, ear, voice, palm, and finger to identify individuals.

Possible applications range from security to services

for governments, corporations and individuals.

For over half a century NEC has engaged in the research

and development of biometric authentication technologies.

As the pioneer in the field, NEC strives to offer flexible and

reliable biometric authentication to connect people and

society globally for a safe and prosperous future.

Ear acoustic

Fingerprint

Palmprint

Finger vein

Voice

Iris

Face

You are the key.

NEC’s biometric authentication: Bio-IDiom

The Bio-IDiom Brand Story


Social Value Creation

Bio-IDiom


For the Safety, Security + Efficiency, Equality of society

Biometric authentication for Social Value creation

SmartTransportation

DigitalGovernment

Public Safety

Fraud detection

Enhanced

Citizen Service

ID theft

prevention

EducationIris

Finger vein

Voice

Fingerprint/

Palm print

Ear acoustic

Face

Safety・Security Efficiency・Equality+

･･･

･･･

Mega events

Payments

Entertainment

Enterprise


Over 700 systems in over 70 countries globally

Systems for Criminal Investigation,

Immigration Control, National IDs, Entertainment, etc.

Global Deployment of NEC’s Biometric Authentication Solutions


South Wales Police, UK: Real-time face recognition

Real-time Watchlist detection for mega event security.

Challenges

Solution

Results

FaceRecognition NEC Press Release https://www.nec.com/en/press/201707/global_20170711_01.html

Deployed during the week of the UEFA Champions League finals (June

2017), and contributed to the safe event management

NeoFace Watch real-time face recognition system

Ensuring safety Ensuring and security in key locations with a

high crowd level such as airports and stadiums

170,000 spectators

Database of 500,000

Mega Events

Matching of images captured from

surveillance cameras mounted on

police vehicles against a database of

50,000 face images of persons of

interest, missing people etc.

Real-time matching for fast and

accurate identification of individuals.

Watchlist Detection

Actual arrests


USA: LA County Sheriff’s Department MBIS system

One of world’s largest biometric criminal investigation service.

Challenges

Solution

Results

NEC Press Release https://www.nec.com/en/press/201803/global_20180315_03.html

Quick and efficient identity verification in the field and in prisons.

⇒Resolution of more cases.

Multi-modal identification biometric solution

Increase efficiency of criminal investigation.

Matching of biometrics captured in crime scenes

for suspect verification.

Connect to federal and local law enforcement

databases. (Including California DOJ and FBI)

Uncovered 107 hits including 2 cold case

homicides in the first 7 days.

Criminal Identification

FaceRecognition

FingerprintRecognition


Singapore: Safety and Security trial

Safety and security of the country through inter-agency collaboration.

Challenges

Solution

Results

NEC Press Release https://www.nec.com/en/press/201801/global_20180117_01.html

Testing of usability of biometrics, video and acoustic analysis technologies for

safety and security in cities and critical infrastructures.

NeoFace face recognition, fingerprint recognition, video and acoustic

analytics

Use of data analytics to meet safety and security needs.

Use of face and fingerprint recognition for enhanced

security at entry points into Jurong Island.

Monitoring for suspicious opening of doors/ windows of

busses entering the area.

Early detection of suspicious individuals and behaviors

using data input from multiple sensors such as

surveillance cameras, microphones etc.

Urban SurveillanceWatchlist Detection

FaceRecognition



Frictionless exit control system using face recognition.

USA: CBP US Exit Control face recognition

NEC press release https://www.nec.com/en/press/201706/global_20170627_03.html

Immigration Control

Enhanced security for exit control using face recognition.

Enable frictionless exit process.

Walkthrough face recognition system NeoFace Express

Reduce processing time, enhance customer service and safety of airport

operations.

FaceRecognition

Exit control trial in several US airports

including Dulles International Airport.

Checking ageist passport DB (US citizens) and

entry data (visitors) to confirm the identities of

those leaving the country.

Enhance security and enable detection of

illegal overstays of foreign visitors.

Challenges

Solution

Results


South Wales Police, UK: Real-time face recognition

Real-time Watchlist detection for mega event security.

Challenges

Solution

Results

FaceRecognition NEC Press Release https://www.nec.com/en/press/201707/global_20170711_01.html

Deployed during the week of the UEFA Champions League finals (June

2017), and contributed to the safe event management


Ensuring safety Ensuring and security in key locations with a

high crowd level such as airports and stadiums

170,000 spectators

Database of 500,000

Mega Events

Matching of images captured from

surveillance cameras mounted on

police vehicles against a database of

50,000 face images of persons of

interest, missing people etc.

Real-time matching for fast and

accurate identification of individuals.

Watchlist Detection

Actual arrests


Faster and securer immigration control with face recognition.

JFK International Airport, USA: Entry Control system


Immigration Control

Enhanced security with face recognition at Automated Passport Control

kiosks at JFK International Airport in New York.

NeoFace face recognition engine.

Reduce processing time, enhance customer service and safety of airport

operations.

FaceRecognition

Matching of face data in the e-passport

against the photo of the passenger

captured at the kiosk, to ensure the

legitimate owner of the passport is entering

the country.

System delivered by Unisys and in

operation since January 2016.

Challenges

Solution

Results


Preventing illegal activities at airport customs control.

Brazil: Face recognition for 14 international airports

FaceRecognition

Detection of pre-registered individuals who have been registered for

suspicious activities.


Increase efficiently and rigor of customs control at airports.

Used to enhance efficiency and

effectiveness of customs operations in 14

international airports in Brazil.

Screening of passengers as they walk past

the customs control area based on a

database of pre-registered suspects.

Challenges

Solution

Results

Enhanced Citizen Services



Social services for 1.2 billion with multi-modal biometrics.

India: Aadhaar (Unique Identification numbers) Program

FaceRecognition


IrisRecognition

Accurate citizen data registered with the government.

Equal and efficient social services for citizens.

Multi-modal biometric authentication system.

Equal services for its 1.2 billion citizens.

ID theft prevention

Multi-modal system combining face,

fingerprint and iris recognition to identify

individuals.

Prevent duplicate registrations and

ensure all citizens have equal access to

services such as food supply,

employment and tax payment.

Challenges

Solution

Results


http://www.google.co.jp/imgres?imgurl=http://newsonair.nic.in/feature-image/uid_logo.jpg&imgrefurl=http://newsonair.nic.in/AADHAAR-UID-Card-THE-NUMBERS-FOR-LIFE.asp&usg=__LtKpEwWGRAWj01ZaF6wBUAqt1uY=&h=402&w=633&sz=104&hl=ja&start=9&zoom=1&tbnid=7phuecH93sCe3M:&tbnh=87&tbnw=137&prev=/images?q=aadhaar&hl=ja&sa=N&gbv=2&tbs=isch:1&itbs=1http://www.google.co.jp/imgres?imgurl=http://newsonair.nic.in/feature-image/uid_logo.jpg&imgrefurl=http://newsonair.nic.in/AADHAAR-UID-Card-THE-NUMBERS-FOR-LIFE.asp&usg=__LtKpEwWGRAWj01ZaF6wBUAqt1uY=&h=402&w=633&sz=104&hl=ja&start=9&zoom=1&tbnid=7phuecH93sCe3M:&tbnh=87&tbnw=137&prev=/images?q=aadhaar&hl=ja&sa=N&gbv=2&tbs=isch:1&itbs=1


Fist in Japan! Face recognition for all local governments.

Tagging of face data to the registered individual at issuance to enable the use of My

Number Cards as a method of authentication in various use cases.

ID verification using face recognition at the issuance counters in local

government facilities nationwide (1,743 organizations).

Preventing identity fraud at My Number Card issuance.

Japan: Identity verification for My Number Card

NEC Technical Journal https://www.nec.com/en/global/techrep/journal/g17/n01/170116.html

Source: The Mainichi, Jan 8, 2016

FaceRecognition

●●●●●●■■■■■■■■■■■■■■■■

Prevent ID fraud at card issuanceMatching of face data against the registered image.

Local governments

nationwide

マイナンバー

カード交付受付

Person at the office

for issuance

Face data in the

My Number Card database

Match

Face recognition is used to verify identity of citizens

at My Number Card issuance in the local

government facilities nationwide.

In operation since January 2016 with the

introduction of My Number Card system in Japan.

Challenges

Solution

Results

ID theft prevention


Japan: Local government offices

Enhanced operations and efficiency for better citizen services.

ID verification solution with finger hybrid recognition, and face recognition.

Efficient security measure for local governments.

FaceRecognition


More projects with the start of My Number Card operations.

Instant and accurate authentication with the simple scanning of

finger, or face by sitting in front of the PC.

Simpler and more convenient than using an IC card

Improves the efficiency of the increasingly complex card

issuing/management operation and reduces the risks of cards

getting lost.

Challenges

Solution

Results



Identity theft prevention

Japan: Concert Ticket Holder Identity Verification

NEC Online TV: https://www.nec.com/en/global/onlinetv/en/concert.html

Supports events of every size or scale. Reduces burden on audience by eliminating

the need to bring photo IDs to the venue.

NeoFace face recognition engine for identity verification.

Risk of entry with resold tickets using borrowed or fake IDs.

Ticket resell prevention and smooth admission!FaceRecognition

Matching of faces captured using tablets at admission with the pre-

registered face images of the ticket holders.

Supports events of any size and scale, including those with tens and

thousands of audience through fan clubs.

Reduces admission time by up to 30% compared to visual inspection by

concert staff, enabling smooth entry for the audience.

Challenges

Solution

Results

Mega Event


Japan: Universal Studio Japan Admission

NEC OnlineTV: https://www.nec.com/en/global/onlinetv/en/usj.html

Smooth admission and a VIP like experience for visitors.

NeoFace face recognition engine

Printing annual passes with facial photos, and visual inspection by staff.

VIP-like entry in to the park with face recognition!FaceRecognition

Face recognition deployed at special gates for annual pass holders ensures smooth

entry into the park and gives visitors that VIP feeling.

Visitors swipe their annual pass over the reader, face the monitor, and wait one

second for the system to recognize their face.

Significantly reduces the time needed to issue the passes.

Prevents the use of passes by persons other than the registered pass holder.

Challenges

Solution

Results



Taiwan: Taipei Summer Universiade access control

Face recognition based access control in the

main operation centre in Taipei Arena.

Used for the access control for the 750 staff

members entering the venue daily.

Enable “walkthrough recognition” without having

to stop to be authenticated.


Mega Event

Secure and smooth personal authentication at entrance.

Contribute to the safe and secure event operation.


Enhancing venue security with access control for staff members.

FaceRecognition

Challenges

Solution

Results

Smooth and secure venue access with face recognition.

Identity theft prevention


India: Lemon Tree Hotels

NEC press release htttp://jpn.nec.com/press/201411/20141127_02.html

Adopted as a new security standard in the hospitability field in India.

NeoFace Watch real time face recognition system.

Detecting persons of interest who could be a threat to the hotel.

FaceRecognition

Face recognition to ensure safe and pleasant experience.

Deployed at Delhi Aerocity Hotel of Lemon Tree

Hotels, a major hotel chain in India.

Real time matching of faces as people enter the

hotel, against a database of potential threats

provided by local authorities.

System also has the ability to detect VIP

customers for enhanced customer service.

Watchlist Detection

Challenges

Solution

Results



Singapore: OCBC Bank VIP recognition

Trial in Holland Village Branch.

Real-time identification of VIPs as they enter the

lounge.

Customized service (preference of drinks, magazines)

based on VIP data.

Input of purpose of visit and feedback for future

services.

First bank in Singapore to use face recognition.

Identify Premier Banking members with their faces and enhance services for

VIPs.


Enhanced service for VIP customers.



Challenges

Solution

Results

Elevate customer experience using face recognition.FaceRecognition


Face recognition for walk-through entry!

Japan: Walk-through Entry (NEC in-house trial)

Efficient operation at the entrance with walk-through authentication.

Neo Face Access Control for entry/ exit management.

Employees need to stop at security gates for ID card authentication.

Unable to prevent entry using someone else’s employee card.

Prevention of identity theft

FaceRecognition

Matching of photos of employees captured at the gate against the database of pre-

registered employee face data. No need to stop in front of the camera.

Trial with about 1,000 employees at the NEC Headquarter building in Tokyo.

To improve practical technical performance and accumulate know-how for capturing

good quality images for accurate identification of individuals.

Challenges

Solution

Results


Making cashless and cardless payments possible

NEC press release https://www.nec.com/en/press/201606/global_20160621_01.htmlFaceRecognition

Payments via face recognition helps to improve business efficiency and ensures

verification of the person’s identity.


Payments at the cashier takes too long. Fraud using stolen ID cards.

Verifies identity by comparing faces captured at the POS terminal against the pre-

registered face images of employees.

Feasibility of face recognition for cashless/ cardless payment was verified through the

trail at shops in the NEC Headquarter building with 500 employees.

To improve practical technical performance and accumulate operation know-how of

recognition performance and operation load under various conditions in shops.

Challenges

Solution

Results

Prevention of identity theft

Japan: Payment Service (NEC in-house trial)


Biometric Authentication

Technology

Bio-IDiom


Different biometric authentication technologies

Finger

print

Hand

writing

Face

Voice

Iris

Palm

print Oto-acoustic

Vein

Convenience

Accuracy

High

Low

HighLow

*Source: Addition to “Biometrics Market White Paper 2007 version” Yano Research Institute, Ltd.

DNA

NEC’s key technology

• Fingerprint recognition offers great convenience with high accuracy and ease of use.

• Face recognition is highly convenient in that it does not require any special actions

⇒Walk-through entry/ exit while holding your luggage, etc.

Characteristics of different biometric authentication


Multi-modal

authentication

Combination of various biometrics

such as fingerprint, face, and iris.

1970 1980 1990 2000

History of NEC’s Biometric Authentication technology

• Wider range of application in our daily lives

through enhancement of technology and

combination of different modalities.

A pioneer with over 40 years of experience in R&D

1982: Metropolitan Police

Department (Japan)

1971: Started research

for fingerprint recognition

Early 1990’s: Criminal AFIS for states across US

Late 1990’s: Global deployment

1984: San Francisco Police Department

2008: Developed finger hybrid recognition technology

2003: Ranked No.1 in US Government benchmark testing

1989: Started research

for face recognition

1996 Started 3D face recognition R&D

1999 Commercialization of face recognition

2003 Global deployment

2009, 2010, and 2013:Ranked No.1 in US Government benchmark testing

2017: Ranked No.1 for the 4th consecutive time in

US Government benchmark testing

Fingerprint

Recognition Face

Recognition

2010


NIST：National Institute of Standards and Technology

*Voice recognition technology was also ranked No1.

*Iris recognition benchmark testing currently in progress.

FpVTE2003

FpVTE2012

Slap Fingerprint Segmentation

Evaluation 2004

MINEX2016

Evaluation of Latent Fingerprint

Technologies 2007（ELFT2007）

NIST Proprietary Fingerprint

Template Testing （PFT2009､PFTⅡ 2013）

Multiple Biometric

Grand Challenge 2009（MBGC2009）

Multiple Biometrics

Evaluation 2010（MBE2010）

Face Recognition Vendor

Test 2013（FRVT 2013）

MBE

Face In Video Evaluation (FIVE)

World-class Technology: US NIST* Benchmark Testing

Fingerprint

recognition

Face

recognition

http://fingerprint.nist.gov/slapseg04/index.htmlhttp://fingerprint.nist.gov/slapseg04/index.htmlhttp://fingerprint.nist.gov/minex04/index.htmlhttp://fingerprint.nist.gov/minex04/index.htmlhttp://fpvte.nist.gov/index.htmlhttp://fpvte.nist.gov/index.html


Detection of faces from images/ videos and analyzing features to identify individuals

Robustness against varying conditions

Face Recognition

Faces are recognized through 2 processes, “face detection” and “face matching”

Detecting faces. (number of faces, position, size, face features, etc.)

Matching faces to “identify” who it is. (Verifying face features, searching for matches in the

database, showing results based on matching scores, etc.)

Achieves high accuracy with robustness against varying environment and conditions.

Face Angle

Lighting Expression Aging

Infrared

camera

images

DETECT

MATCH

Verify features

Face detection:“Detect faces” from images

Face Matching:Verify if it is the same person


Iris Recognition

Extremely high accuracy and speed of recognition

Contact-less, hands-free recognition in the same way as face recognition. Biometrics

information is not left on the capturing device.

Uses near infrared lighting (LED) and a camera, enabling use in dark locations.

Retina

Pupil

Iris

Matching of the iris features, muscle pattern around the pupil, to identify individuals.


Fingerprint/palmprint recognition

NEC’s unique high-speed and highly accurate recognition technology.

Abundant track record of installations around the world.

Based on international standard for fingerprint/palm print, and minutia data formats and the data is compatible with other systems.

With its “permanence” and “uniqueness”, fingerprint and palmprint is used forapplications with rigid recognition such as criminal investigation and National IDsystems in Public Safety market worldwide.

Digitized dataOriginal image is discardedafter digitization

Minutiae andrelated method

Relation network

Original image

Registered data

Only the digitalized data is stored

Print images of individuals

are irreversible [Protection of privacy]

Analyzing fingerprint/ palmprint features extracted from finger/ palm for recognition.


Combination of fingerprint and finger vein makes it difficult to forge or steal. It is used widely for access to PCs in governments and enterprises.

● Capable of reading fingerprint and finger vein information simultaneously by simply placing a finger over the reader.

● World’s first finger hybrid identification technology for secure user authentication.

Finger vein recognition

High-speed and highly accurate recognition technology.

Difficult to forge as it uses vein patterns inside a finger.

Contactless capture of fingerprint and finger vein data, for hygienic benefits and protection of privacy (no data is left on the device surface).

Hybrid fingerprint recognition solution

Detection finger vein patterns of the finger to identify individuals.

For Japan domestic market only


Voice recognition

Contact-less, hands-free recognition.

Identifies an individual remotely through a telephone, etc.

Not depend on the language spoken.

No need for special devices (standard microphone on smart phone and tablet).

A

C

E

B

D

F

G H

Voice database Verify

Recommended data size:

30 - 60 seconds/person

Voice data of 10 seconds

or more is recommended.

Picks up voice through a microphone and identify individuals by analyzing features.


Ear acoustic recognition

Analyzing the sound

reflection patterns

Peak of 5 - 8 kHz (Supports distance of 2 - 3 cm to the ear drum)

Hearable device

Transmitted

signal

Received

Signal

Identification using

unique patterns

A

B

C

Recognition using the shape of the ear cavity that are unique to each individual.

High-speed and highly accurate recognition technology.

Contact-less, hands-free recognition.

Applicable for locations where users wear masks or gloves, such as in hospitals.

Highly secure method of authentication.

High affinity for real life application, without the need to look at any screens, etc.


High accuracy/ security

User friendly

Multi-modal authentication

Ear acoustic

Fingerprint/palm print

Finger vein

Voice

Face

Iris

+Bio-IDiom

Authentication by

combining multiple modals

Multi-modal authentication by combining different biometric recognition modalities.

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