shoppers embrace fingervein and palm biometrics

1
12 NEWS/COMMENT Biometric Technology Today June 2013 ...Continued from page 3 In a second survey, the ‘Nuance/Opus Call Center/IVR Survey’, Nuance and Opus surveyed more than 1,000 consumers in the US who had recently used their telephone for customer care, to assess their attitudes toward speech-enabled systems for authentication and gain insights into the features and func- tionality customers would consider ideal. "When using current methods, 65% of callers fail at authentication" Survey results showed that most consumers are unhappy with current methods of authen- tication, and that most would prefer voice biometrics. Of those callers surveyed, 85% are dissatisfied with current authentication meth- ods. When using current methods, 65% of callers fail at authentication too often. 49% of callers surveyed find current authentication processes too time consuming and 90% of consumers surveyed prefer voice biometrics over PINs and passwords, with 77% stating that they find voice biometrics more convenient. Shoppers embrace fingervein and palm biometrics N atural Security has released the results of two pilot implementa- tions comparing fingervein and palm biometrics in a retail environment. From October 2012 to March 2013 Natural Security oversaw experimental implementa- tion of a proximity payment system in two locations in France, combining biometrics to authenticate customers and guarantee they are present during the transaction, a payment card, for storing biometric data and performing user authentication, and a case to enable the card to communicate with the payment terminal The pilot was designed to test the device in real-life situations. No hesitation to use biometrics was observed among pilot participants. When the pilot ended, 68% of users said they would like to continue using the technol- ogy as it is currently implemented, but partici- pants were almost unanimous (96%) in want- ing to use biometric payment technology if the retailers they shopped with had the equipment and the technical issues were ironed out. FBI intros national palm print search T he US FBI deployed its Next Generation Identification (NGI) Increment 3 in May 2013, improving latent fingerprint search accuracy and introducing a nationwide palm print identification system to help solve cold cases and improve crime solving capabilities. The improvements are the largest so far in a series of phased upgrades to the FBI’s biometric identification services, delivered by a Lockheed Martin-led team. Increment 3 incorporates matching algo- rithms developed by Morpho and supplied by US subsidiary MorphoTrak. The new technol- ogy is three times more effective in matching latent fingerprints submitted by investigators to those in the national database than previously, enhancing law enforcement agencies’ ability to identify suspects and solve cases. The new National Palm Print System (NPPS) contains latent palm prints that will be searchable on a nationwide basis for the first time. Identification of palm prints, which represent about a third of all latent prints, has been used successfully in the past by investiga- tors to match prints from a crime scene against those of known suspects. Now, law enforce- ment agencies can use the NPPS to compare latent palm prints in a matter of minutes to all of the records in the national database. NGI expansion and enhancements will continue through 2014 to deliver what the FBI believes is the world’s largest electronic repository of biometric identification and criminal history information. The debate sparked by the apparent failure of US law enforcement systems to identify the Boston bombers using facial recognition technology continues to rage. Researchers have added fuel to the fire, with findings that facial recognition systems could indeed have identified the bombers. Researchers at Michigan State University have been able to identify one of the Boston Marathon bombing suspects from law enforcement video using the Neoface facial recognition system (see news story, page 1). They comment, “The investigation surrounding the Boston Marathon bombings was a missed opportunity for automated facial recognition to assist law enforcement in identifying suspects.” Researchers from Carnegie-Mellon University’s CyLab Biometrics Center also got involved. They are reported to have tried out their single image super-resolution technology, which they have described as ‘hallucinating a face’, to identify the Boston bombers from CCTV, with some success. Facial recognition technology is developing rapidly and there have been a number of developments in the past few weeks. US authorities are pressing ahead with research and development around facial recognition technology in the real world. The Intelligence Advanced Research Projects Activity’s (IARPA) Janus programme is looking for developers to improve the current performance of face recognition tools by fusing spatial, temporal, and contextual information captured by what it dubs ‘media in the wild’, that is unconstrained videos, camera stills, and scanned photos exhibiting a broad range of real-world imaging conditions. At the same time, vendors have been busy announcing new solutions that appear to address some of the barriers to widespread adoption of facial recognition. Animetrics has released an entry level, cloud-based facial biometric system called ID Ready, which takes grainy photos and improves them through a process of first taking an uploaded 2D photo, applying facial feature point detection (eyes, nose tip, mouth, etc) and from that creating a 3D model. A new 2D resultant image is then pose-corrected to provide a better 2D image for recognition. Separately, Spain-based Herta Security has launched BioSurveillance Next, a facial recognition solution for video surveillance applications. Herta Security says the solution is 40 times faster than conventional CPU based facial recognition technology, and this faster processing capability means it is able to process in real time, live or recorded high definition video at a rate of 150 frames per second. With news this month, too, of facial recognition implementations at Dublin and Edinburgh airports, this looks very much like a technology whose time has come. Tracey Caldwell COMMENT retail law enforcement

Upload: lynhi

Post on 01-Jan-2017

218 views

Category:

Documents


3 download

TRANSCRIPT

Page 1: Shoppers embrace fingervein and palm biometrics

12

NEWS/COMMENT

Biometric Technology Today June 2013

...Continued from page 3

In a second survey, the ‘Nuance/Opus Call Center/IVR Survey’, Nuance and Opus surveyed more than 1,000 consumers in the US who had recently used their telephone for customer care, to assess their attitudes toward speech-enabled systems for authentication and gain insights into the features and func-tionality customers would consider ideal.

"When using current methods, 65% of callers fail at authentication"

Survey results showed that most consumers are unhappy with current methods of authen-tication, and that most would prefer voice biometrics. Of those callers surveyed, 85% are dissatisfied with current authentication meth-ods. When using current methods, 65% of callers fail at authentication too often.

49% of callers surveyed find current authentication processes too time consuming and 90% of consumers surveyed prefer voice biometrics over PINs and passwords, with 77% stating that they find voice biometrics more convenient.

Shoppers embrace fingervein and palm biometrics

Natural Security has released the

results of two pilot implementa-

tions comparing fingervein and palm

biometrics in a retail environment. From October 2012 to March 2013 Natural

Security oversaw experimental implementa-tion of a proximity payment system in two locations in France, combining biometrics to authenticate customers and guarantee they are present during the transaction, a payment card, for storing biometric data and performing user authentication, and a case to enable the card to communicate with the payment terminal

The pilot was designed to test the device in real-life situations. No hesitation to use biometrics was observed among pilot participants.

When the pilot ended, 68% of users said they would like to continue using the technol-ogy as it is currently implemented, but partici-pants were almost unanimous (96%) in want-ing to use biometric payment technology if the retailers they shopped with had the equipment and the technical issues were ironed out.

FBI intros national palm print search

The US FBI deployed its Next Generation Identification (NGI)

Increment 3 in May 2013, improving latent fingerprint search accuracy and introducing a nationwide palm print identification system to help solve cold cases and improve crime solving capabilities.

The improvements are the largest so far in a series of phased upgrades to the FBI’s biometric identification services, delivered by a Lockheed Martin-led team.

Increment 3 incorporates matching algo-rithms developed by Morpho and supplied by US subsidiary MorphoTrak. The new technol-

ogy is three times more effective in matching latent fingerprints submitted by investigators to those in the national database than previously, enhancing law enforcement agencies’ ability to identify suspects and solve cases.

The new National Palm Print System (NPPS) contains latent palm prints that will be searchable on a nationwide basis for the first time. Identification of palm prints, which represent about a third of all latent prints, has been used successfully in the past by investiga-tors to match prints from a crime scene against those of known suspects. Now, law enforce-ment agencies can use the NPPS to compare latent palm prints in a matter of minutes to all of the records in the national database.

NGI expansion and enhancements will continue through 2014 to deliver what the FBI believes is the world’s largest electronic repository of biometric identification and criminal history information.

The debate sparked by the apparent failure of US law enforcement systems to identify the Boston bombers using facial recognition

technology continues to rage. Researchers have added fuel to the fire, with findings that facial recognition systems could indeed have identified the bombers.

Researchers at Michigan State University have been able to identify one of the Boston Marathon bombing suspects from law enforcement video using the Neoface facial recognition system (see news story, page 1). They comment, “The investigation surrounding the Boston Marathon bombings was a missed opportunity for automated facial recognition to assist law enforcement in identifying suspects.”

Researchers from Carnegie-Mellon University’s CyLab Biometrics Center also got involved. They are reported to have tried out their single image super-resolution technology, which they have described as ‘hallucinating a face’, to identify the Boston bombers from CCTV, with some success.

Facial recognition technology is developing rapidly and there have been a number of developments in the past few weeks. US authorities are pressing ahead with research and development around facial recognition technology in the real world. The Intelligence Advanced Research Projects Activity’s (IARPA) Janus programme is looking for developers

to improve the current performance of face recognition tools by fusing spatial, temporal, and contextual information captured by what it dubs ‘media in the wild’, that is unconstrained videos, camera stills, and scanned photos exhibiting a broad range of real-world imaging conditions.

At the same time, vendors have been busy announcing new solutions that appear to address some of the barriers to widespread adoption of facial recognition. Animetrics has released an entry level, cloud-based facial biometric system called ID Ready, which takes grainy photos and improves them through a process of first taking an uploaded 2D photo, applying facial feature point detection (eyes, nose tip, mouth, etc) and from that creating a 3D model. A new 2D resultant image is then pose-corrected to provide a better 2D image for recognition.

Separately, Spain-based Herta Security has launched BioSurveillance Next, a facial recognition solution for video surveillance applications. Herta Security says the solution is 40 times faster than conventional CPU based facial recognition technology, and this faster processing capability means it is able to process in real time, live or recorded high definition video at a rate of 150 frames per second.

With news this month, too, of facial recognition implementations at Dublin and Edinburgh airports, this looks very much like a technology whose time has come.

Tracey Caldwell

COMMENT

retail

law enforcement