Iris, Face and Sound Recognition Biometrics

Iris Biometrics

Introduction

Iris recognition is the process of recognizing a person by analyzing the random pattern of the iris. The automated method of iris recognition is relatively young, existing in patent since only 1994. The iris is a muscle within the eye that regulates the size of the pupil, controlling the amount of light that enters the eye. It is the colored portion of the eye, and the coloring is based on the amount of melatonin pigment within the muscle. Although the coloration and structure of the iris are genetically linked, the pattern details are not. The iris develops during prenatal growth through a process of tight forming and folding of the tissue membrane. Prior to birth, degeneration occurs, resulting in the pupil opening and the iris forming random, unique patterns. Although genetically identical, an individual's irides are unique and structurally distinct, which allows for them to be used for recognition purposes.

Having only become automated and available within the past decade, the iris recognition concept and industry are still relatively new, so a need for continued research and testing remains. Through the determination and commitment of industry, government evaluations, and organized standards bodies, growth, and progress will continue to raise the bar for recognition technology.

Face recognition

As they work the scanner of face or?

There are several forms of face recognition.

The method commonest uses a camera to capture an image of our face, that is analyzed based on certain "key points", like the distance between the eyes or the width of the nose.

Based on these parameters a unique group is generated (a series of numbers) that soon is compared with others.

Where is used escáneres face or of face?

The companies worried about the security use the face recognition so that the employees accede to sensible areas.

The airports use it to identify passengers who can be in the lists of looked for people.

The cities use to detect it delinquents in places public, and some casinos of Fertile valleys to catch the swindlers, all of them with diverse levels of success.

What level of security offers the face scanner or scanner of face?

According to the tests made by the National Institute of Science and American Technology, the best systems reach a precision of the 80-90 percent in controlled conditions.

However, the results vary based on the illumination and the angle in which the face is placed, as well as of sex and the age of the scanned person.

The technology is improving more in the identity verification that in the identification of a face between a multitude.

Voice Recognition

A human voice is as distinct as a human's face image or fingerprints. The popularity of diverse communication means (landline and cell phones, Internet phones, etc.) open a wide number of opportunities for the application of voice recognition technology. In addition, identifying humans by their voices is both user-friendly and effortless.

Voice recognition technology uses distinctive voice characteristics to verify a person's identity. These characteristics are based on physiological and behavioral components.

It should be noted that the voice (alongside with handwriting and gait) is a behavioral feature, resulting in its low reliability and accuracy.

Voice recognition techniques are used in a number of application areas related to processing user requests by phone (such as call-centers), which allows faster servicing of clients and reduced operator workload. In high-value projects (such as those designed to secure confidential data) voice recognition is good at supplementing other biometric technologies (mostly, fingerprint biometrics).

Voice Biometric Features

Handwriting recognition is based on analyzing such distinct physiological components as the physical shape of the mouth and throat, structure of the vocal cords as well as such acquired habits as the volume, manner and rate of speech.

The voice is highly dependent on emotional factors (a person's mood) and state of health (sore throat, running nose or bronchitis). Identification quality is also governed by a number of external factors (traffic noise, other people talking, etc.). If communication lines are used to identify a human by voice, background noise can also make it difficult to perform voice identification.