Smart door locks biometric technology
We all know that smart lock of secrecy in most fingerprint door lock, also knew this was the trend of the intelligent door lock is the use of biometric technology to enhance the security and performance of intelligent door lock, then today we'll learn about biometric technologies:
Biometric means of identification through traits distinguish technology. Sense from the automatic identification system, biometric technology is using a comparative method to distinguish between different individuals of the characteristics of the human body, is now used mainly in speech recognition, fingerprint recognition, hand geometry, vein recognition, face recognition, iris recognition.
Speech recognition is the earliest. Speech recognition is a human voice using microphone collection and then algorithmically converted into digital signals and recognition software to detect contrast. Will handle voice features with his storage capacity as compared to the reference sample can be drawn of authenticity. Because of the vulnerability of human voice health status (a cold stuffy nose, sore throat) greatly influenced and imitated so will lose accuracy. Speech recognition, although development has a long history, but its product application is not ideal.
Fingerprinting, front lines on the skin at the end is to use our fingers to make the identification. Because the lines in a pattern, the breakpoint and the intersection is a little different. As early as the ancient Chinese used fingerprints to distinguish individual identity has been widely used. Fingerprints can be obtained from the finger itself, can also be obtained from traces of suspect objects it touches. The uniqueness of fingerprints as evidence of the identification of the most important and widely used in the field. Include fingerprint attendance machine, password, fingerprint lock, fingerprint and other products, and is convenient, safe, fast, accurate and so on.
Hand geometry recognition first by the United States Dr GARRETT study, through identifying Palm of hand and finger length, size and shape as well as the remaining four fingers except the thumb of different surface characteristics to confirm their identities. Hand geometry is the rationale for collecting infrared CCD gets the finger, and Palm to three-dimensional images, digital images are stored in the computer system of the Palm, the feature value is stored. Than when they are on the Palm, collected Palm extraction eigenvalues, application filtering, image binarization, thinning method for extracting features of digital images, Palm characteristic values stored on the host than the right, using sophisticated matching algorithm to match the Palm features and identification of individuals. This technique will be used in the smart lock.
Like hand geometry recognition, vein recognition is first of all, infrared CCD imaging methods such as three dimensional images of the veins and vein characteristics as input data, from three-dimensional figure based on a dedicated alignment extraction eigenvalues, are distinguished.
Iris recognition based on pupil surrounded by doughnut-shaped part, using different colors to organize details pattern recognition technology. Recognition is obtained by a similar infra-red lights to scan the iris pattern and patterned pixel difference operation to determine similarity. Iris recognition process first separates the images from the eye IRIS and profiling. All biometrics iris recognition is the most accurate because the odds to find the same two IRIS at one hundred and twenty thousand-firsts. But because of complex equipment and high cost of Iris recognition, not widely used in the civilian market, can only be used in certain State authorities or investigative bodies.
Refers to the use of face recognition facial facial features information such as position, face angle and characteristics of the different recognition. Traditional person face recognition face recognition technology is mainly based on the visible image, but when the ambient light changes, the recognition rate will plummet, unable to meet the needs of real systems. Light problem can be solved a three-dimensional image of face recognition face recognition and thermal imaging technology is not mature enough. But in the past two or three years rapid development of light source for face recognition technology solutions, you can overcome the influence of light, in terms of accuracy, stability, and speed overall system performance over a three-dimensional image of face recognition this year, face recognition the world record and forward to a higher level, surpassing the 99% LFW recognition rate. Developers will face recognition technology free for Android, iOS and Windows Phone developers, face recognition technology is evolving towards a practical life.
With the development of biometric technologies, reform and extension of the business gets a new, intelligent locks ushered in a new phase, the use of biometric technology in everyday life, also bring tremendous change, continuous progress of biometric technologies, bringing convenience to people.
