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Discussion on several biometric technology applications

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Discussion on several biometric technology applications

  • Categories:Technological
  • Author:
  • Origin:
  • Time of issue:2016-07-14 00:00
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(Summary description)

Discussion on several biometric technology applications

(Summary description)

  • Categories:Technological
  • Author:
  • Origin:
  • Time of issue:2016-07-14 00:00
  • Views:
Information

  Discussion on several biometric technology applications

fingerprint

Fingerprint refers to a human finger on the strip lines, their formation is dependent on the environment during embryonic development. Currently, many countries will fingerprint as the personal information stored in official data collection identification database for the judiciary as a means of identification.

As the most traditional and most sophisticated biometrics, fingerprint has two distinct advantages: stability, in six months from the fetus is fully formed refers to rotting corpses after death, the fingerprint ridge type, structure, statistical characteristics It has always been no significant change in the overall distribution; uniqueness, still can not find two people have identical fingerprints.

Fingerprint feature usually point method, extracting fingerprint or fingerprint differences convex curves in the cut portion (endpoint) and other characteristics to identify the right. In recent years, with the development of electronic technology, automated fingerprint identification performance has been greatly improved, under normal circumstances, only about one second general recognition false rejection rate of less than 2%, the false acceptance rate of less than 0.0001%.

However, in order to improve the reliability of the fingerprint identification device placement opponents have certain requirements, in addition, the system of the actual situation of the fingers there are certain requirements for dry or dirty finger finger recognition rate will be reduced.

For end users, in many places due to the current fingerprint personal information has been used as input to the database in an official capacity, in the access control system in use, if not managed properly, the risk of leakage of personal information.

Fingerprint can be applied to the channel composition (fingerprint three roller gates, swing gates fingerprint, fingerprint wing gates, word gates fingerprint, fingerprint translation gates, fingerprint full-height turnstiles and other biological pathways Management System)

Hand

Hand geometry recognition is a technology of the last century the rise of the eighties, the palm-shaped identification device is based on the three-dimensional hand geometry measurement on. Because each person's hand is different, so as to identify the condition. Determining the characteristic shape mainly through several hands on, including the palm of length, width, thickness and surface area as well as different parts of the finger width, finger length, finger thickness and curvature of the curved portion of the finger or the like to achieve recognition. These data provide a unique combination of relationship, to ensure that the identification of fast, accurate and reliable.

Typically, hand geometry identification device false rejection rate is about 0.03%, while the false acceptance rate was 0.1%, a complete system to identify needs only 1 second.

Palm-shaped channel can be used in the composition (Hand three roller gates, swing gates palm-shaped, palm-shaped wing gates, word gates palm-shaped, palm-shaped pan brake, palm-shaped full-height turnstiles and other biological pathways Management System)

Finger Vein

Finger vein recognition is a living body with near-infrared radiation human finger vein, the vein image obtained by coding and authentication technology. Medical research shows that the shape of a human finger vein has a uniqueness and stability that each person's finger vein image is not the same, in the same vein image individual's finger is not the same; intravenous shape changes do not occur in healthy adults, This finger vein recognition is provided, a medical basis. Compared with fingerprint recognition technology, hidden inside the body, and require live finger vein, so the chance of being copied or stolen is small, the low resistance of the subject's psychological, physiological and environmental impact of small factors to overcome the dry skin , oil, dust, abnormal skin surface and other factors, from the original vein image is captured into digital processing, the whole process less than 1 second, and can be triggered with a high accuracy recognition rate (false reject rate of about 0.01%, the false acceptance occurs rate of about 0.0001%) and many other important features, making it in a highly secure and easy to use and far better than fingerprint recognition technology.

The finger vein channel can be used in the composition (finger vein three roller gates, swing gates finger vein, finger vein wing gate, the word gate finger vein, finger vein pan brake, finger vein full-height turnstiles and other biological pathways Management System)

Retina

Retina recognition principle by analyzing the pattern of blood vessels in the retina to distinguish each person. Retinal scan with low intensity infrared illuminated retina, to take the next picture of the major blood vessels. Because the retina is located in the back of the eye, and therefore the acquisition process requires the user to a high degree of cooperation in order to ensure the correct and aligned to illuminate the retina and requires standing 2-3 feet, still holding 1-2 seconds. More importantly, it is recognized by the retina scanning technology concerns about the effects on eye health. For these reasons retina recognition biometric technology has not become a mainstream technology.

Retinal channel can be applied to the composition (retinal three roller gates, swing gates retina, retinal wing gates, word gates retina, retinal pan brake, full-height turnstiles and other retinal Biological Corridor Management System)

Iris

The iris is the color ring around the pupil of the organization, it has a rich and varied texture pattern, form the basis of iris recognition. Iris is formed is determined by the genes, the human gene expression determines the iris shape, physiology, color and overall appearance. To about two years old, the iris is basically developed to a sufficient size, it entered a relatively stable period. In addition to rare abnormal status, physical or mental trauma caused by a large change in the outer appearance of the iris, the iris morphology can be maintained for decades have not changed much. In addition, due to the external transparent cornea iris relative to the outside world isolation, therefore, fully developed iris is not easy to produce change by external damage. Iris recognition technology is a near infrared light through the iris pattern scan imaging, and the pattern of pixels by bit XOR operation to determine the degree of similarity. Iris recognition process begins to separate from the iris image in the eyes out, and then characterize theoretical probability of finding two identical irises is 120 parts per million, which is currently the most accurate known to all biometric technologies of.

Iris recognition because the device complexity, shorter scan distance, as well as users of mental health concerns, but not in extensive use in the civilian market.

Iris composition may be applied to the channel (iris three roller gates, swing gates iris, iris wing gates, word gates iris, iris pan brake, iris full-height turnstiles and other biological pathways Management System)

Facial

Facial recognition is based on the person's facial features information of a biological identification technology of identification. With a camera to capture images or video stream containing a human face and automatically detecting and tracking human faces in the image, and then take a series of measures related technical detected face image including a face image acquisition, face orientation, face pretreatment recognition, memory and storage than identification, the purpose of identification of different people.

Facial recognition device analyzes facial shapes and features that include the eyes, nose, mouth, eyebrows, face outline, shape and positional relationship. The brightness and angle and facial expressions vary, so that facial recognition is very complex. In addition, the facial recognition system direct exposure to light, especially sunlight very sensitive, false reject rate in this case will be greatly increased, and in some cases impossible to identify.

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