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Biometric Technologies

Updated on March 11, 2008

Biometrics

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Laptop Fingerprint ScannerFace RecognitionIrisU.S. Passport with Biometrics LogoBiometrics Logo
Laptop Fingerprint Scanner
Laptop Fingerprint Scanner
Face Recognition
Face Recognition
Iris
Iris
U.S. Passport with Biometrics Logo
U.S. Passport with Biometrics Logo
Biometrics Logo
Biometrics Logo

What are Biometrics?

The word itself, Biometrics, is derived from two Greek words.

Bios = life and Metron = measure. So biometrics, as a direct translation, means "measure of life."

In the past "biometrics" meant measuring and logging information on living things. As such it was used as a tool of statistical analysis of life-forms. In forestry, fish population studies, and human population studies. Biometrics originally meant tracking large numbers of similar lifeforms.

Today the word has a slightly different meaning. It is a term used to imply a means of identifying individual humans.

After the multiple terror attacks at the beginning of this new century biometrics took on a new urgency. In fact the science, though still in it's infancy, has already found its place in personal computers as fingerprint scanners; a means of locking and unlocking personal computers by means of a finger scan.

Biometrics

Biometrics by Category
Biometrics by Category

Interests and Concerns

Areas of interest in biometrics fall into two categories; physiological and behavioral. Of course physiological biometrics measure empirical characteristics that are known to be unique from person to person. For example the iris of the eye, fingerprints, facial structure, the hand, and even DNA are known to be unique from person to person.

Behavioral metrics include keystroke patterns on computer keyboards, the signature, and voice analysis.

Both categories have their own advantages and disadvantages. The first and likely most important concern is accuracy. Biometrics must be accurate enough to insure that each subject is positively identified. But truly robust biometric systems can suffer from processing delays.

In other words if a system is fast it may be inaccurate; if accurate processing for that level of accuracy may take entirely too long to be useful.

Fingerprint

Fingerprint Identification

Fingerprints were first used as identification in 14th Century Persia. it was common practice to place a fingerprint on official documents. A Persian doctor noticed that of all the fingerprints he'd seen no two from different persons were alike. This difference was later noticed by Dr. Henry Faulds in 1880 in the magazine Nature. Dr. Faulds offered his information to the London Metropolitan police, but was dismissed.

Fingerprint analysis is the study of the ridges and valleys left by "friction ridges" on the fingertips. These ridges can also be found on the palm of the hand, the toes, and the feet. Fingerprints are formed during fetal development and do not change (barring scaring or injury) throughout life. In fact fingerprints stay the same even in new layers of skin.

With the advent of computing and scanning technology it is much easier to scan and store fingerprint information and assign that information to persons via name, age, and other biometric data. Databases of this information are kept at various police departments and the Federal Bureau of Investigation.

The FBI currently has a database of over fifty one million fingerprints.

Interestingly there is only one non-primate animal who has similar fingerprints to humans; the koala. In fact, koala fingerprints are so similar to human prints that even scanning electron micrographs can be hard to tell apart.

Iris and Face Metrics

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Iris (click to enlarge)Facial Metrics (click to enlarge)
Iris (click to enlarge)
Iris (click to enlarge)
Facial Metrics (click to enlarge)
Facial Metrics (click to enlarge)

Iris and Facial Identification

The Iris

More recently iris patterns have been used for identification purposes.The iris is thought to be the ideal part of the human body for biometric identification:

  • It is well protected from damage and wear unlike fingerprints which can be altered over time

  • The iris is flat, compared to the eyeball, and it's diameter is consistent from eye to eye. This makes measuring the patterns of the iris easier since the size itself falls within acceptable limits

  • The iris has a very fine texture which is randomly created during embryonic development. As with fingerprints even twins have different iris patterns
  • An iris scan is easy to accomplish as well established photographic techniques are all that is required. This also eliminates any direct physical contact between the person being scanned and the scanning equipment
  • Algorithms already exist that virtually guarantee a zero percent false identification rate. This system is John Daugman's IrisCode

  • Though changes in iris color can occur the patterns themselves are quite stable over many decades

The Face

As with the iris, the advantage with facial recognition is that standard photographic techniques can be used to record the human face. With the photograph an operator can extract the coordinates of facial features such as the distance between the center of pupils, the inside metric from the corners of eyes, the outside corner of eyes, the patern of the hairline and the like.

From these measurements a list of twenty distances are calculated and placed into a set of formulas.

There are inherent problems with this though in that it is unlikely that any two pictures would be the same. Head rotation, tilt, lean, and scale all play a part. To counter these problems each set of distances is standardized to represent the face in a full frontal orientation. To get to this point of standardization computer programs first try to determine tilt, lean, and rotation and then, using angular calculations, determine the coordinates of the twenty points described above.

The advantages are;

  • The subject is much less likely to know that their face is being scanned
  • It is non-intrusive to the subject

  • Lends itself to public settings such as airports and train stations
  • Is much non-intrusive to the public at large

DNA

DNA
DNA

DNA Identification

Though this seems to be the most reliable form of measure time and testing have proven it's not. This technology may well get the innocent out of jail and make cases against the guilty easier to prosecute, but the fact is that about one point five percent of the Earth's population are monozygotic twins.

This may seem odd since the very same monozygotic (identical) twins will have different finger and iris prints.

There is also a time factor. DNA analysis still takes days if not weeks to accurately perform.

Behavioral Biometrics

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Key LoggingJohn HancockVoice Pattern
Key Logging
Key Logging
John Hancock
John Hancock
Voice Pattern
Voice Pattern

Behavioral Biometrics

Keystroke

Also called "typing dynamics" measure the amount of time between keystrokes as well as the timing of a key being pressed and released.

This biometric uses the rhythm which an individual uses as s/he types characters on a keyboard or keypad. These rhythms are measured to develop a unique biometric signature the persons typing pattern for future reference.

Raw data can be recorded to determine Dwell time (the amount of time taken to press a key) and Flight time (the time between each key-press). The recorded keystroke timing data can then be processed through an algorithm, to determine the a primary typing pattern for future comparison.

Signature

Though in the past this has been a good measure of a person's identity advances in scanning technologies has made this particular means of identification unreliable.

For example member of congress can now have their signatures stored as "true type" fonts. This allows Congress-persons to "sign" documents quickly and electronically.

Voice

Also known as speaker recognition this means of identification is forty years old.

Speaker recognition uses the acoustic features of speech that have been found to differ between individuals. These acoustic differences are caused by both anatomy and upbringing. For example the size and shape of the throat and mouth can affect the acoustic characteristics of the speaker. Voice pitch and speaking style (learned behaviors) can also be measured.

The advantages to speaker recognition are;

  • Is non invasive and the speaker can be unaware that identification it taking place
  • Non intrusive. No physical contact with the detection equipment is required

Disadvantages include;

  • Multiple simultaneous speakers can muddle the identification
  • A previous recording must be available for comparison

  • Ambient noise can muddle or even obliterate the voice
  • Voice changes can occur due to aging or injury

Comments

Submit a Comment

  • Starlinkindia profile image

    Star Link Communication Pvt Ltd 

    3 years ago from D-88/4, Okhla Phase I, Okhla Industrial Area, New Delhi, Delhi - 110020

    All information is great like biometrics, dna identification, face recognition, iris technology etc. Great Hub !!

  • LiamBean profile imageAUTHOR

    LiamBean 

    8 years ago from Los Angeles, Calilfornia

    Note to all: The census bureau recently performed their address audit with hand-held computers made by Harris Electric. The hand-held included the fingerprint scanner displayed in the very first image at top under "Biometrics."

  • LiamBean profile imageAUTHOR

    LiamBean 

    8 years ago from Los Angeles, Calilfornia

    Ginn: Never indeed!!!

  • Ginn Navarre profile image

    Ginn Navarre 

    8 years ago

    I think this was very interesting thanks. Never to old to learn!!!!

  • apeksha profile image

    apeksha 

    9 years ago from India.

    I have studied in my Engineering carrier thanks...for sharing with all..

  • LiamBean profile imageAUTHOR

    LiamBean 

    10 years ago from Los Angeles, Calilfornia

    Thanks folks. I thought the subject darned interesting and quite a bit of this technology may well be in use today.

  • stephhicks68 profile image

    Stephanie Hicks 

    10 years ago from Bend, Oregon

    This is very good! I wrote a similar hub, but this is so nicely organized and explained. Best of luck!

  • Peter M. Lopez profile image

    Peter M. Lopez 

    10 years ago from Sweetwater, TX

    Great stuff, LiamBean. Good luck.

  • Angela Harris profile image

    Angela Harris 

    10 years ago from Around the USA

    Wow, interesting.

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