Biometrics Proximate Analyzer Indonesia

Biometrics, in its various forms, have been around for centuries; but it never perched to become an Orwellian invasion that was intrusive to our personal rights rather than now.

The birth of biometrics today dates back to the mid 1800's and is associated with, among others, Francis Galton. Galton's vision was what ultimately triggered Hitler's vision of the super race. Galton believed that through genetic engineering undesirable human traits could be eradicated to produce advanced human species. Biometrics is used as a measure of "what" is and what is not the desired nature; measuring the size and shape of the skull, distance between ocular, eyebrow dimensions, finger size, and so on. Galton believed that this external manifestation showed the separation of human species between inferior and superior human specimens.

Today rather than using these traits to determine suitability for genetic dispositions the government uses the same traits to determine your social disposition; all without your knowledge or consent. When scientists continue to study biometrics, it becomes clear that this technology can be used to proximate analyzer indonesia identify someone based on their unique characteristics. This gave birth to a modern version of biometric identification.

Various aspects currently being used or research for biometric identification include:

- Identify hand / Palm prints
- Identify the Iris pattern
- Face recognition
- Introduction / identification of speech / speaker
- DNA
- Identification of vascular patterns
- Gait / body recognition
- Thermography of the face

Hand and palm identification checks the unique identification measurements of the hand. The distance between the knuckles, the length of the fingers, the relation of joints to the main body of the hand, the lines in the hand, and so on.

Identification of iris patterns checks for unique patterns in the iris to determine identification. Seen in the size, shape, and formation that forms the iris. This type of identification requires samples obtained directly from individuals and cannot be collected passively.

Face recognition uses all facial measurements to identify certain individuals. These include things like bone structure, nose placement, eye distance, and eyebrow protrusion, as well as the relative location of facial features on the face, the size of the forehead and slope, and so on. All of these and more are used to feed algorithms that identify you. This data can be obtained passively, even without the knowledge of the individual.

Speech / speaker recognition uses physical speech channels and your mouth movements to identify individuals. Most of this data can be collected simply by eavesdropping and recording conversations, again without the knowledge of the individual.

Identification of vascular patterns is obtained by scanning hands with a near infrared device to determine the unique specifications of blood vessels in your hand. They looked at blood vessel thickness, branching angle and branching point. Even though a data collector must be close to an individual, this data can be collected without the knowledge of the individual.