Dear all,

Good day,

"Biometrics identify, measure and collect a biological trait or group of traits. There is a wide variety of typesof existing biometrics, with more in development. Some of the most common focus on physical traits, like faces, fingerprints, irises, retinas and DNA. Others focus on behavioral elements such as voice, signature, gait and keystrokes.

In practice, biometric technologies employ a standard process across different types. A sample of the biological trait is collected using a sensor of some kind, such as a camera for faces or a recorder for voices. Through the use of an algorithm that extracts information from the biometric sample, the trait is then converted into a digital representation called a template, which can be stored in a database.

The larger the database, the more templates there are to verify or identify subjects. The key component is the algorithm used to construct the template; this is the feature that distinguishes a biometric recognition system from (and makes it better or worse than) others.

http://america.aljazeera.com/opinions/2014/7/biometrics-big-datamining.html

Regards

Biometrics: Measurable biological and behavioral characteristics that can be used for automated recognition.

Qualities of good biometrics:

Ubiquitous, Consistent, Detectable, Persistent, Unique (within a range of probability)

That simple scenario that most of us have encountered is a pretty good illustration of both the benefits and drawbacks of the convergence of biometrics and big data. The face recognition software that makes those Facebook tagging suggestions possible is part of a larger discipline called biometrics that includes fingerprints, retinal scans, and gait recognition, and the field is advancing fast. Combining those capabilities with big data analytics tools allows us to understand who you are simply by looking at you—whether you’re in a photo on Facebook, a video clip, or merely walking around in the world.

So, is this good or bad? The answer is probably both.

http://semanticommunity.info/@api/deki/files/18009/Hagan_David.pdf

http://www.smartdatacollective.com/bernardmarr/221261/big-data-and-biometrics-why-your-face-matters-more-ever

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6012798

Dear @Subhash C. Kundu,

Thank you very much for interesting answer.

Regards, Shafagat

Dear all,

Good day,

"Biometrics identify, measure and collect a biological trait or group of traits. There is a wide variety of typesof existing biometrics, with more in development. Some of the most common focus on physical traits, like faces, fingerprints, irises, retinas and DNA. Others focus on behavioral elements such as voice, signature, gait and keystrokes.

In practice, biometric technologies employ a standard process across different types. A sample of the biological trait is collected using a sensor of some kind, such as a camera for faces or a recorder for voices. Through the use of an algorithm that extracts information from the biometric sample, the trait is then converted into a digital representation called a template, which can be stored in a database.

The larger the database, the more templates there are to verify or identify subjects. The key component is the algorithm used to construct the template; this is the feature that distinguishes a biometric recognition system from (and makes it better or worse than) others.

http://america.aljazeera.com/opinions/2014/7/biometrics-big-datamining.html

Regards

Dear  @Fateh Mebarek-Oudina   &     @Lawrence Broxmeyer, MD,

Thank you so much  for interesting  opinion.

Regards, Shafagat

Big Data in Biometrics is the collection and analysis of biometrics-related data of many sorts for completely diverse purposes and properties such as reliability, security, usability, performance, prediction, prevention, detection and so forth and so on. In other words, in any biometric-based application, Big Data is about extracting streams from one or more data points and making sense of those data streams; e.g. drive valuable metrics to support business goals. Examples of biometrics-related data are general or vendor-specific system-events or diverse types of performance and environmental metrics/data (e.g. a verification reject, transaction time, temperature, noise) and many more.

Biometric technologies, like any other technology, have a margin of error, which can be expressed in error in identifying the wrong person as a user to be allowed access, or the failure to identify a person who actually has access. The problem is reduced mostly to the questions related to the same systems, the level of technology used and, in mathematical terms, to the fact that any security system has a margin of error. With biometrics, however, that margin is much lower than in other systems.

Dear all,

" Modern hand vein reading technology would appear as witchcraft to someone living in 1780. Likewise, the not-too-distant future’s identification science seems frightening and piercingly intrusive to us today. But the gears of innovation never cease their meshing turns and we are rapidly heading toward a time when the human body will be our only credential. Swipe and proximity cards, key fobs, barcodes, fingerprint readers, RFID tags, and other identification methods common today are eventual relics.

Engineers of tomorrow will be devising systems that will, in mere seconds, sample, deconstruct, compare, and match the ordering of each of our base pairs of adenine and thymine, guanine and cytosine, the amino acids from which our DNA is built. Individuals attempting to spoof these systems will be up against match probabilities that are currently accepted to be 1 in 5 million. In highly secure environments DNA match data will be combined with biomorphic identification, retinal scanning, and whole body blood path maps. Such a person-specific template will be impossible to fool."

http://www.accu-time.com/Body%20As%20Credential

Regards

Dear Shafagat,

I do not try to answer, but I think you have raised an important issue today, since researchers have to face the "race for big data". I wonder how to cope well with something not recognized as a pattern?

When people think of biometrics, they think of fingerprint scans, and while this is considered a biometric, it is only one of many. Other forms of biometrics include:

--retinal scans

--vein recognition

--signature recognition (the system looks at the motion used to create the signature, --rather than just the signature itself)

--DNA sampler

There are many pros in using biometrics for Big Data security, the first of which is the elimination of unauthorized access. Nowadays, hackers can get past just about any form of 2-step verification security. However, biometrics offers a much more challenging platform for hackers and there are two reasons behind this. Firstly, the person has to be present in front of the machine to get past security and secondly only the person who’s biometrics were used can access it.

http://www.itscolumn.com/2014/02/biometrics-for-securing-big-data/

"I have very real concerns about the civil liberties implications of ultimately requiring every resident to submit themselves for compulsory fingerprinting or some other biometric test."

--- Patricia Hewitt

Biometric technologies are "geared" by many systems to add to the already collected data about persons in many countries. A citizen in a country "which is labeled as free" may be surprised by the amount of data or information that has been gathered about him/her. The biometrics will just add more to the "big" data for the pleasure of the "big" brothers in the "establishment". The "sacred cow of security concerns" is there to serve as an excuse for going into personal details but the real motive has been keeping citizens well-controlled & well-directed by an "elite" which desires to have permanent unchallenged status.  

Biometrics combined with big data will impact the healthcare industry!

http://www.biometricupdate.com/201503/biometrics-combined-with-big-data-will-impact-the-healthcare-industry

Dear @Shafagat, please find attached paper Fusion of Biometric and Biographic Data In Large-Scale Identification Projects!

"Demands on large-scale identification system are huge in terms of scalability, reliability, flexibility and performance.

An effective method for addressing all these challenges – simultaneously or successively – needs to be found. Multi-modal fusion – the technique of combining resultsof individual biometric modalities into one single one – is often cited as the answer. However, as it is exclusively focused on biometrics many challenges remain. Prime amongst those are the interaction and integration with legacy biographic data, the need to achieve interoperability between different biometric modalities, and the infrastructure that supports the development and operation of large-scale identification systems..."

Dear  Ljubomir Jacić,

Excellent applications shown through Fusion of Biometric and Biographic Data  ...!

Thank you very much dear @Ljubomir Jacić  for interesting opinion. 

Getting information off the Internet is like taking a drink from a firehose.

– Mitchell Kapor.

Big Data and Biometrics: Why Your Face Matters More than Ever!

“The fundamental concern about face-printing is the possibility that it would be used to covertly identify a live person by name — and then serve as the link that would connect them, without their awareness or permission, to intimate details available on-line, like their home addresses, dating preferences, employment histories and religious beliefs.”

An excellent article is attached.

https://www.linkedin.com/pulse/20140717062548-64875646-why-your-face-matters-more-than-ever

Excellent! Very informative! Dear  Ljubomir Jacić.

I am using the same source.

And, ---- perhaps most worrying to privacy experts, documents released by Edward Snowden reveal that the NSA intercepts millions of web images daily with “tremendous untapped potential,” for facial recognition purposes ..... .

https://www.linkedin.com/pulse/20140717062548-64875646-why-your-face-matters-more-than-ever

Please check this URL

http://ww2.cfo.com/big-data-technology/2015/10/big-data-biometrics-money-well-spent/

Fine resource dear @Sugata. It is about security concern. Here is another good article:

The Eyes Have It!

"Concerned about security, companies may soon rely on a wide range of biometrics. Turns out you're even more special than you thought...And make no mistake: in this era of heightened corporate security, Big Brother is big business. According to the International Biometric Industry Association, the biometrics market will jump from its year 2000 mark of $165 million a year to $2.5 billion by the end of the decade..."

http://ww2.cfo.com/technology/2002/10/the-eyes-have-it/

Dear @Shafagat, this is a good story!

Banks drawn to vein pattern recognition biometrics!

"While fingerprint recognition systems are currently the most widely available biometric identification technology in the market currently, fingerprints are easy to duplicate and thus there are rising security risks for fingerprint-based solutions.

Increasingly, the financial sector is favouring vein patterns as its biometric identifier. Other technologies of promise include 3D facial recognition and iris recognition..."

http://www.electronicsnews.com.au/news/banks-drawn-to-vein-pattern-recognition-biometrics?mid=873fd4ba0e&utm_source=Cirrus+Media+Newsletters&utm_campaign=4a2848e020-Electronics+Newsletter+-+20151110114343&utm_medium=email&utm_term=0_fe913f1856-4a2848e020-59145617

Dear Ljubomir Jacić,

Thank you very much for interesting opinion.

Regards, Shafagat

GLOBAL’s biometrics colleagues are developing advanced ‘big data’ capabilities to aid criminal investigation and counter-terrorism. Sciometrics President Mark Walch explains.

These technologies work in two modalities:

--- firstly, investigative – that is processing latent fingerprints captured at a crime scene or other sensitive sites against a database of suspects; and

--- secondly as an “afterburner” to vastly improve the ability to make positive identifications from low quality prints and print fragments.

http://www.globalgroup.com/newsblog/blog/rising-to-the-big-data-challenge-in-biometrics/

Columbia professor warns of dangers of our online footprint, offers tools of 'resistance'!

"Every time we email, chat, Tweet-we offer information about ourselves. Bernard Harcourt worries about how this information is being used...

Perhaps the most troubling dimension of our current state of transparency, argues Harcourt, is the fact that we are not only aware of it, but complicit in it. "We live today in a new political and social condition...that is producing a dramatically new circulation of power in our society," writes Harcourt. "And it does so with our full participation." There is no one to blame but ourselves...

So, what can we do?...Harcourt believes in digital "resistance."...

"It is precisely our desires and passions that have enslaved us, exposed us, and ensnared us in this digital shell as hard as steel," writes Harcourt, in his bleak conclusion. "Our digital cravings are matched only by the drive and ambition of those who are watching.""

http://www.techrepublic.com/article/columbia-professor-warns-of-dangers-of-our-online-footprint-offers-tools-of-resistance/?tag=nl.e101&s_cid=e101&ttag=e101&ftag=TRE684d531

Dear @Shafagat, here is fine info.

Wearable Technology to Revolutionise Biometrics!

New research from Unisys reveals that law enforcement is expected to lead the incorporation of biometrics into wearable technology. However privacy concerns around the security of biometric data stored in the cloud need to be addressed as adoption becomes more mainstream....

https://electronicsnews.com.au/wearable-technology-to-revolutionise-biometrics/