KCC Software USA

BioAXS has choosen KCC Software as representative partner for BioAXS in the United States. Both organizations are working together to finalize a Pre-Bid process to secure a contract in Litigation Management System for a Florida Based Insurance Firm.

IPS Australia

Integrated Project Solutions (IPS) is a leading independent Australian Project, Construction Design and Fabrication Manager.
The company provides project, construction and design management services to the mining, mineral processing, oil and gas, chemical and petrochemical, government and industrial sectors.

IPS has chosen BioAXS to shift their all projects to Microsoft SharePoint 2010...

Punjab Prisons

BioAXS was asked to deliver a Finger Print recognition system for staff and prisoners for the Prisons in Punjab. A comprehensive solution is installed at IG office Lahore and is being tested at Sahiwal Central Jail.

In collaboration with Punjab Government, BioAXS has developed a Finger Print solution for recognition of Tandoor Owners buying flour from Flour Mills in Punjab at a subsidized price.

AUTOSOFT DYNAMICS

BioAXS has installed a Finger Print recognition door control system at AutoSoft. The specialist of the system is having Finger Print recognition at both ENTRY and EXIT points.

SIMCO AS

SIMCO The leading Scandinavian Car-Electronics has chosen BioAXScard Finger Print online login solution as well as adapting our security technology, controlling sensitive information for Police, Insurance and the Scandinavian Customs…

BOI Thailand

BioAXS has been approved by Board of Investment Thailand to operate its Software Development business free of TAX and carry out duty free import/export for 8 years.

BOI Thailand advised, it’s willing to support Software Engineers from Pakistan and India to come and work closely along with Thai Engineers to fill the Gap of Software Development Thailand is facing today.

(1) Biometric authentication is the automatical recognition of a living being using suitable body characteristics.
(2) By measuring an individual's physical features in an authentication inquiry and comparing this data with       stored biometric reference data, the identity of a specific user is determined.

Remark: authentication is used here as a generic term for identification and verification.

Advancing automation and the development of new technological systems, such as the internet and cellular phones, have led users to more frequent use of technical means rather than human beings in receiving authentication.  Personal identification has taken the form of secret passwords and PINs.  Everyday examples requiring a password include the ATM, the cellular phone, or internet access on a personal computer.  In order that a password cannot be guessed, it should be as long as possible, not appear in a dictionary, and include symbols such as +, -, %, or #.  Moreover, for security purposes, a password should never be written down, never be given to another person, and should be changed at least every three months.  When one considers that many people today need up to 30 passwords, most of which are rarely used, and that the expense and annoyance of a forgotten password is enormous, it is clear that users are forced to sacrifice security due to memory limitations.  While the password is very machine friendly, it is far from user-friendly.

There is a solution that returns to the ways of nature.  In order to identify an individual, humans differentiate between physical features such as facial structure or sound of the voice.  Biometrics, as the science of measuring and compiling distinguishing physical features, now recognizes many further features as ideal for the definite identification of even an identical twin.  Examples include a Finger Print , the iris, and vein structure.  In order to perform recognition tasks at the level of the human brain (assuming that the brain would only use one single biometric trait), 100 million computations per second are required.  Only recently have standard PCs reached this speed, and at the same time, the sensors required to measure traits are becoming cheaper and cheaper.  Therefore, the time has come to replace the password with a more user friendly solution -- biometric authentication.

In the development of biometric identification systems, physical and behavioral features for recognition are required which:

• are as unique as possible, that is, an identical trait won't appear in two people:  Uniqueness
• occur in as many people as possible:  Universality
• don't change over time: Permanence
• are measurable with simple technical instruments: Measurability
• are easy and comfortable to measure:  User friendliness

Biometric traits develop:

• through genetics: genotypic
• through random variations in the early phases of an embryo's development: randotypic (often called phenotypic)
• or through training: behavioral

As a rule, all three factors contribute to a biometric trait's development, although to varying degrees.  The following table rates the relative importance of each factor (o is small, ooo is large):

*Randotypic patterns often show genotypic traits in their overall structure.  These genotypic traits may disappear with increasing refinement (e.g., development of branches on a tree).

**Mostimplementations react to learn effects to various degrees, and therefore don't have a negligible behavioral contribution.

Even though the type of developmental factor does not solely determine a feature's usefulness, there are a few things to take into account:

• pure genotypic traits can't differentiate between monozygotic (identical) twins or clones
• purely behavioral features are, by definition, easiest to imitate
• behavioral features are strongly affected by external influences and the disposition of the user
• normally for authentication purposes, randotypic contributions are essential due to their necessity for creating absolute uniqueness

The following must be considered:

• Even monozygotic twins have obviously differing features.
• As a rule of thumb, random variations do NOT follow bodily symmetry.  For example, the right and left iris have different details, and are not mirror symmetrical to each other.

Reasons for variation over time:

• Growth
• Wear and tear
• Aging
• Dirt and grime
• Injury and subsequent regeneration
• etc.

Biometric features, which are minimally affected by such variation are preferred.  The degree to which this is possible is shown in the following table.  Easily changed effects such as dirt and quickly healing injuries such as an abrasion, are not taken into consideration.