Facial Recognition Systems Fail Simple Liveness Detection Test

By: Brian Rhodes and Charles Rollet, Published on May 17, 2019

Facial recognition is being widely promoted as a solution to physical access control but we were able to simply spoof 3 systems because they had no liveness detection.

The image below is an example of how it works. If a person is in a facial recognition system, often you can trick the system by simply holding up a photo of that person.

liveness detection

When the 'key' is your 'face', being able to use a photo of a face to copy the 'key' is a significant risk.

In this post, we explain:

  • What the problem is
  • How we were able to spoof them
  • Examples of providers who failed
  • What the risks are of using such systems
  • What methods are used to detect liveness

****** *********** ** ***** widely ******** ** * solution ** ******** ****** control *** ** **** able ** ****** ***** 3 ******* ******* **** had ** ******** *********.

*** ***** ***** ** an ******* ** *** it *****. ** * person ** ** * facial *********** ******, ***** you *** ***** *** system ** ****** ******* up * ***** ** that ******.

liveness detection

**** *** '***' ** your '****', ***** **** to *** * ***** of * **** ** copy *** '***' ** a *********** ****.

** **** ****, ** explain:

  • **** *** ******* **
  • *** ** **** **** to ***** ****
  • ******** ** ********* *** failed
  • **** *** ***** *** of ***** **** *******
  • **** ******* *** **** to ****** ********

[***************]

What *** ******* **

*** ***** ** **** many ****** *********** ******* lack ******** *********: **** mistake******** ****** *************.

****** ** ****** *** extremely **** ** ****** - ******* ** ** taking ** *** * person's ****** ***** ******** or **** **** *****'* camera, ******* * ******* of **** ******'* **** is ***** ******.

How ** ** ****

*** ***** ** ** simple ** ******* *** kind ** ****-******* ***** photo ** * ****** to *** ******, ******* it's ** * ******* piece ** ** ***** or * ****** ** a **********. *** ******* ******* * ******** ******** a ********** ****** ****** by ******** *** * photo ** *** *********.

**** *** ****** ******* ******** **** *********** *** ******** ********* 'disabled' ** **** *** but ***** ****** ** back **.

******: **** *****, **** Networks ****** ********, ********* to **** **** *** gate's ******** ********* ******** - ***** ** ***** on ******* ******* ** the ****** - *** turned *** "*** ***** a ****" ******* * speaker *** ***** ********* to *** ****** **** that **** ****** ** smile ** *** **.

********

**** **** ******* ******** Taipei **** ****, ** asked ** ** ******** detection ***** ** *** the ********* ******** ****** control **** ****** ***********. Three ** *** **** we ******** ******. *** only **** *** *** was * ******* **** specialized ** ******** *********.

AiUnion: **** ** ***** ***

********* ******* ************** ****** ** ** “innovative *** ******** ** deep ********” ****, ********** its *** ****** *********** technology *** ********* *** use (***** ****, *** enforcement, **********, ***). ******* this *********, *******'* ****** control **** ****** ** prevent * ***** ****** from ***** ******** ** the ***** ***:

** ********, ** **** told **** *** *******’* “2D” ****** - **** claim *** “**” *** would *** **** ******.

Shenzhen **** ******* & ********** *******: **** ** ***** ***

**** ************* ******* ************/************* ***-***** ********, **********, and ******* *********, ******** to ** * "*** 10" ************ ** *****. At ********, **** ****** a **** ** * face *** *** *** access *******:

** *** *** **** with *******, *** **** was ****** ** **** a ***** ******** ********* test, **** * ****** selfie ***** ********:

** **** **** *** device ***** **** ***** $600. *** *** ****** that *** $***, * device **** ****** ******** detection ****** *** *********.

Geovision ******** ** ****, ****** ** ***** **** ******

******* ***** ******'* ***** largest ************* ***** ******* and *********,************ * **** ***** booth ** ********, ***** promoted * **** ** an ****** ******* ****** with **** ************ **** a ******** ****** ** "a ***** ******* **** future *********":

**** ** ***** ********* if ** ***** ** a ****** ******** ********* test ** ****** ** a ****** ***** *** us **, *** *** quickly ****** ** **** the ****** *** "** liveness *********" *** *** not ***** ** ** test **. ** **** told *** **** ****** was **** * ********* and *******, *********** ********* device ***** ******* ******** detection, ******** **** ****** was *** ** *******.

*** ********* *** **** on ** **** ** the ****'* ****** *********** solutions ********* *** ******** of ** ** **.*% and **** ***** **% of *********'* ******** ** AI-related ** **** *****. Needless ** ***, ******** percentages *** ********** ** a ******** *** ***** your ****** *********** ** pulling ** * ***** on *** *****.

LIPS: **** ******* ****

********* ******* ************* ****** ** * "3D ******"-*********** ******* ******* camera/software ********* *********. ** Secutech, **** ******** ******** specifically ***** ** ******* liveness ********* *****. **** rep ******* ***** ****** us **** *** ********** did **** ** ****** spoof ********, ****** *** Sewo, *********, *** *******:

**** ****** ** ** well **** * ******, and *** ****** ****** again. *** ****** ***** of *** ** ****’ access ******* ******* (*** AC770) ** $*,***, ********* Chang **** ***** ** down **** **** ****** from ****** ** ***** processors.

Test ********

** ********* *** *** this ******** *** *** facial *********** ****** ******* live **** ** *** how '*****' *** ****** is.

Face *** ******** ********* *******

** / ***** ******* and ******* ******** ******* are *** *** **** common ********** ** ******** this *******.

IR / ***** *******

**** **** ******* ******** 'liveness' ****** **** **** a ******* ******** ***** for ********* **** ******.

********, **** ****** *** taken ** *** ** or ***** ***-******* ***** spectrum *** ******** **** a '** ***** ***' (*** *****'* **************) ** ****** ** a ******* ** ****** an ****** **** ** being ****** *** *** a ** *****.

Machine ******** *******

****** ******** ********* *** be ******** *** * number ** ********* *******, with ***** ** *** more ********* ******** *****:

  • *****/*** ********: *** ******** ************, users ****** ***** ***** to ******* ** ***** 'proves' **** *** *** a ******* *****.
  • *** ********: ** *** **** way, ***** **** *** not **********, *** **** subtle ********* ** **** indicate ******** *** **** people *** *** ******.
  • ***** *********: ***** ****** ** not *****, ** ****** confirmation *****/**** *** ******** is * ****** ******** test.

**** ***** ******* ** computer ******, ****** ****** varies ********* ** ***** quality *** ***** ********* is ********.

Multi-modal ********

******* ** *** ******** in*****-****** **************, ********* ******** ******** detection ******* **** * face *** ****** ********* the ********** ******** ** real *****, *** ******.

Poll / ****

Comments (24)

*******, **** **** ** spoofing ***** *******!

* ** * *** amazed ***** *** ******* sellers **** ****** ***** facial *********** ****** *******. Access ******* ** ****** demanding ***** **** ***** accurate *** **** ********** which * ******* **** of ***** ********* **** not **.

*** *** ******* *** passed (****) ***** $*,*** (which **** ** **** to ******* *** **** users) *** ***** **** 3 ******* ** ***** access, * ***** **** for ** *********** ***** walk-through / ********* *********** is *** *** ********* entering:

****, ******* **** ** with **** ***** ** was ** ********, ** he *** **** **** to **** **** * limited ****** ** ******* there. ** ********* **** to ** **** ***** on ***** ******* ** the ******.

*******, *****, *** *** fill ** *** ******* why **** ****:***** **** ***** ** down **** **** ****** from ****** ** ***** processors. ?

**** ******* ******** ** the ******** ** ********* from *** ***** ** GPU *****.

*** **** ******** / analytics, **** ********* *** they *** ***** *****, they ********* **** ******** / ******, *** ************ Intel ****. *******:***** ****** ******* ***** 2 / ******** ** Test

**** ***** * *** of *****. ****** *** the *************.

********** *** ** ********** as **** **** ... static ********* **** ***** change *** *** ** left **********. *** ***** of **** ********** *** such **** **** ******** harder *** *****'* ****** the ***** **** **** there ** ** ********** or **** *********** ** biometrics.

***

****** *********** *** ****** control ** ******** * hot *****.

** ******** ** *** recent ******** *******, *** news ***** ***** *** earlier **** **** ** my **** (**. *****).

** ***** ***** *** of ***** ******* ******* to ***** ** ** "expert" ** ** ******* the *** ******* ******.

**** - ******* ***** new ****** *********** ********** to **** *****, *** is ** *********?

****** ** ****** *** extremely **** ** ****** - ******* ** ** taking ** *** * person's ****** ***** ******** or **** **** *****'* camera, ******* * ******* of **** ******'* **** is ***** ******.

****** ** ******’* ***** are ******* ********* ** many ***** ** ****. Would *** ********* ******* you ******* ***** ****** be ****** ** * playing * *****?

  • *****/*** ********: *** ******** ************, users ****** ***** ***** to ******* ** ***** 'proves' **** *** *** a ******* *****.
  • *** ********: ** *** **** way, ***** **** *** not **********, *** **** subtle ********* ** **** indicate ******** *** **** people *** *** ******.
  • ***** *********: ***** ****** ** not *****, ** ****** confirmation *****/**** *** ******** is * ****** ******** test.

#*, **'* * **** point / ********. ** will **** **** ** the ******.

*******! ** ***** **** the ******* ******** ******* can ** ****** ******** by * *****. ****** a ***** ******* ** a ******? ** *******. If **** *** **** photos *** **** ****** available **** * ***** recommend ** ** ** instagram; ***** ****** **** has * ***** ** share ******* ******** **** the ******...

** *** ********* ******** dictates *** ********* **** must ** **** - move **** ** ****, move **** ** ***** - **** **'* ****** unlikely **** * *********** video ***** ****.

* ******* *** **** to **** *** *** reasons ** *** *** are ***** ****** ***********.

** ** *** ***** into * ******** ******* a ****** ****?

** ** * ******* turnstile ***** *****?

**** *** ****** ***** you *** ***** ** you ***** ** **** to **** *** ********** measures ********** ** ****** recognition.

**** ****** ***** ***** - *****-****** ************** - Swipe ****/*** + ****** recognition + ********** *********

**** * ******* **** is, **** *** ****** and **'* **** * matter ** **** ****** it *** *****. ***** up ***** **** ****, someone ****** ** *********** from ** ***** *** used ** ** ***** my ***** *********** ****. Another ************* ** *** failings ** *********** ***** identification.

******* ****** ** *********** from ** ***** *** used ** ** ***** my ***** *********** ****

***** ****** ****** **** a ****** *********** ****** is ********* **** ** pull *** ***** ************ are *** ******* ********* online. * ** *** discounting ************** ******** ** a *******, **** **** getting * '*****' ** someone's **** ** *******.

*** ****** ** *** type *** ** ******* if ****** ********* *** devoted ** *** ****.

** * ********* ********, our ************** ** ** make ******** ** **** as ********, *** ******** detection (**** ********** *&*) is * *** **** of ****.

** * ********* ********, our ************** ** ** make ******** ** **** as ********

*** ****, * ** not *********** **** *** a ****** *********** ****** that **** *** *** a ***** ** *** in ** **** ******* a *****-** ** **** password ** *** ** your ********:

Image result for writing password on paper next to screen

***, ****** **** ** any ****** ****** **************, regardless ** *** ********, is * **** ********. Multi-factor ************** (********* * know, ********* * ****, Something * **) ** the **** *** ** ensure *** *** ********** your ***-***.

*** *** ******** ** multi-factor ** ************* / reduced **********. ** ** clear, * ** *** arguing ******* **, **** pointing *** **** **** buyers *** ********* ***** those ****** ********** ** non ****-******* **********.

** *** ****** ****** being '**** ********', ******* question - *** **** is ** ** *****/***** iris? ******* ** **** iris ** **** *********** to **** ******, ***/**?

*****-****** ******* **** *** or **** *********** ** used ***** *** ** proven ***********. ***** *** are *********** *** *** to ***, *** *** all ** ********? *** if *** ****** ** No **** *** ******* next ******** **, *** not *** **** *** one **** ****** ** defeated? **** ** * rabbit **** ** ******** depth ** **** ** credentials *** **** ** the ******* ** **************. The ****** *** ** to ******** ****** *** way ****** ******** ******.

***'** ***% ******* **** you *** "*****-****** ******* that *** ** **** credentials ** **** ***** one ** ****** ***********." The ***** ****** *****-****** authentication ** **** *** credential **** **** *** successfully **** **** **** just *** **** ** be ******* ******. ** in *** **** **'** discussing, *** ***** **** to **** **** *** prox **** *** ******* the **** **** *** associated **** *** ******* in ********.

*****, *** ****'* *** point. ** *****'* ****** incentive ** ** ** then **** *** ** defeated ************* ** ********, its **** * ****** of ********** *** *** discussing. *** ** *** other ****, * ****** that ****** * *** of **** ***** ****** to *** ***** ** recognition *** *** ****** going *** **. ***, it ********** ********** ** human. ***, *** ***** must ******* *** *** of **** ***** ****** selected *** ********** ** the ******. *** ******* exactly **** ******* *** know ************* **** ** addition ** *** ******* challenge *** **** ** also ***** ***, ****** and ******. *** ****'* only *** ** *** random *** ******** ******.

* ***** **** *** to * *****. *** idea **** ***** ****** is ** ******** *** difficulty ** ********** *** various ******* *** ***** the ***** ********* *** level ** **********. *****, traditional ******* *** ********* I **** (****/***** *****), something * **** (***/********) and ********* * ** (Face, ******, ****, ****).

*****, ***** ********* ******* that ***** **** **** to ** ********* ** gain ******.

** ** ******* * don't ***** **** * person's ******, *** ** height ******* ** *********** vectors. * **** *** many *********** **** ********** as ** ******* ******** biometrics (****, ****** *** iris) ***** ******** ********** true ***** ****** ************** because **** *** *** technically *** **** ****** (something * **).

******** ****** **** **** you ** *** ******* if *** *** ***** a ****, *********** ***/** iris (*** *** ***) it *****'* ** *** any **** ** *** don't **** **** * person's ***/********.

**** **** ****** ******.

**** ******* **********, **** can **** ** ** inconvenience. **** ** ******* to ******* (******** *** easy ** *** *************); fingerprint ** ******** **** (especially **** * *********** fingerprint ******); **** ** getting ******, *** ** harder **** *** ***** two. *** **** ***** the ************* ** **** spoofing.

**** *** *** ****** goes - ****, **** or *****-*** *** **** any *** *** *** all *****. ***** ** no ******** **** * single ****** ** *********. In ***** ** *** non-high ******** ******** ***** is ********* ***** **** cards *** *******, *** can *** * **** recognition ***** **** **** not **** **** **** current **********. **** ****, if *** *** * 'non-high ******** ********' *** would *** ** ** the ******* *** ******* to *** ** * second ******?

** *** **** ********, I'd **** ** ***** to ** **** ******** to ******* **** ***. Common ***** **** **** you *** ****** **** source ******** *** * face ***** ****** **** an **** ***** ******.

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