The bank card was stolen, the identity was stolen, and the access control card did not function as a security guard... The security of the citizens was worrying. People even helplessly say: "Nobody in this world can believe it. Only oneself is the most reliable." However, the application of biometrics has provided a new way for security. Biometrics for biometrics include hand shape, fingerprints, irises, infrared thermograms, and signatures, sounds, and key presses. Based on these features, various biometric technologies such as hand shape recognition, fingerprint recognition, infrared temperature spectrum recognition, speech recognition, iris recognition, handwriting recognition, and the like have been developed. At present, biometrics is considered as one of the most promising technologies. Biometrics are increasingly used in airports, banks, important institutions, and advanced residential areas where identification is required...
ATM Face Recognition Makes Money Safer In recent years, there have been cases where money is being siphoned off by ATMs. Some criminals have designed traps to divert cash to the defrauders.
At the 2010 China International Finance Exhibition just held recently, an ATM (Automated Teller Machine) with a face recognition system met with the audience. This kind of cash machine with new functions is based on the existing ATM DVR video surveillance system, using face recognition technology, behavior analysis technology, monitoring and automatically determine the various illegal acts occurred on the ATM, make intelligent Processing.
This type of ATM can perform face analysis on the cash withdrawals on the one hand to prevent illegal acts such as masked disguise withdrawals, and on the other hand, it monitors the situation around the entire cash machine to prevent people from committing crimes. This system can not only identify the payer himself, but also the people around 1.5 meters away from the withdrawal will be collected by the camera. The image will also appear on the ATM screen, and the safety of withdrawals will be greatly improved.
Currently, companies have cooperated with ATM manufacturers to produce ATMs that can recognize faces, and have piloted them in some financial institutions. Perhaps in the near future, people will no longer worry about being defrauded or defrauded at the time of withdrawal.
“Brain fingerprinting†is no longer new for criminals to use fingerprints to help detect cases and punish criminals. Now, the “brain fingerprinting†analysis technology in the United States has become another new tool to explore the truth of the case.
One scenario can be conceived: A gangster robbed a shop with a gun and was arrested by the police. After arriving at the police station, the police put an instrument with electrodes on the suspect's head. At this point, on the computer screen in front of the suspect, the crime scene will be displayed: the owner's head, a robber standing in the shop and a pistol for committing the crime. Although the suspect is pretending to be calm and silent, it has no use. When the picture in the computer coincides with the crime scene stored in his memory, his brain responds with a weak signal, and the police can make judgments based on this. This is the general case of "brain fingerprinting".
"brain fingerprinting" by Lawrence, the founder of the neurologist Seatart Brain Recognition Lab Fawell invented, through the information on the memory of the criminal suspect's brain and the brain waves generated by him, can determine whether the suspect has a detailed understanding of the case and the scene, which helps to determine whether the suspect is guilty. At present, "brain fingerprinting" technology has been used in the United States to arrest suspects with an accuracy rate of 99%%. In order to effectively combat the greediness of white-collar workers, Indian police used "brain fingerprinting" techniques to detect white-collar crimes in the country. India subsequently became the second country to use the "brain fingerprinting" method after the United States. Now "brain fingerprinting" technology has attracted wide attention from countries in the world.
Biometrics have become the darling of the time. Biometrics for biometrics include hand shape, fingerprints, irises, infrared thermograms, and signatures, voices, and key presses. Based on these features, various biometric technologies such as hand shape recognition, fingerprint recognition, infrared temperature spectrum recognition, speech recognition, iris recognition, handwriting recognition, and the like have been developed. In recent years, biometrics technology has been rapidly developed and applied in the market. According to 2009 statistics from IBG (International Biometrics Group), the global biometrics technology reached US$3.422 billion in 2009 and reached US$4.356 billion in 2010.... It reached US$9.368 billion.
Biometrics technology has entered China in just 15 years, but it has been rapidly applied. It can be predicted that in the near future, biometric technology will be widely applied to all areas of public life and work in our country. In the next few years, biometric identification will also become the most important technological revolution in the information industry. The huge application demand will drive the rapid development of the biometric identification market, especially with the launch of a number of giant national projects, the entire global biometric identification. The scale of the industry will reach the market scale of tens of billions of dollars.
Wide variety of biometric technologies The so-called biometric technology is a combination of computer and optical, acoustic, biosensor and biometrics principles and other high-tech means, using the inherent physiological characteristics of the human body (such as fingerprints, face images, iris, etc.) and behavioral characteristics (such as handwriting, sound, gait, etc.) for personal identification. Fingerprint identification technology Fingerprint identification technology is currently one of the most widely used, low-cost and easy-to-use biometric authentication technologies recognized internationally. Since each person's fingerprint is unique, there is no fingerprint between the two. , And it is easy to get, so it is very practical.
The fingerprint technology was first applied in the public security criminal investigation field. It is also widely used in the armed police and military. At present, many grassroots police stations in China have installed scrolling fingerprint readers as effective technology tools for solving crimes.
In terms of the computer, fingerprint technology is currently applied to computer information security encryption, in place of the "user ID + password" method for user identity authentication and access control, using a fingerprint instead of a password to log in to the windows operating system. In addition, the direct use of fingerprint sensors has been applied to notebook computers, and many domestic large companies have integrated into the development and application of this technology. Fingerprint mobile phones, fingerprint U-disks, fingerprint POS machines, fingerprint ICs have a wide range of applications.
Fingerprint technology has also been fully applied in the field of financial banking, mainly focusing on bank internal control management. At present, the internal control teller fingerprint management systems of the five state-owned banks of the Industrial and Commercial Bank of China, the Agricultural Bank of China, the Bank of China, the Construction Bank and the Bank of Communications have all been put into use.
In recent years, many large-scale sports events have successfully applied fingerprint lock technology. Such as the Beijing Olympic Games, the 24th World University Winter Games and so on. At present, real estate manufacturers have also introduced fingerprint locks. A real estate can reach hundreds or even thousands of locks, and the number is very impressive. Face Recognition Technology The face recognition technology is based on the facial features of a person and analyzes the input face image or video stream. First, it judges whether or not there is a face, and if there is a face, the position of each face is further given. , size and location of each major facial organ. Based on this information, the identity features contained in each human face are further extracted and compared with known faces to identify the identity of each face.
The video surveillance face recognition system has features such as high recognition accuracy, stable system performance, stable light changes, stable attitude angle, stable time span, and support for remote network monitoring.
Face recognition technology has developed rapidly in recent years. Due to the ease of use, ordinary cameras can be used as sensors, mainly relying on face recognition software and algorithms for processing, so the promotion is relatively low cost, customers are more easily accepted, and the biggest advantage of face recognition relative to fingerprint recognition is non-contact More convenient and hygienic. From this perspective, face recognition is very promising. With the widespread use of face recognition technology in government projects and the application of face recognition in other large industries, the market share of face recognition is increasing rapidly. Face recognition is expected to maintain rapid growth in the next five years. Face recognition will become the next two major biometrics recognition technologies with fingerprint recognition. The current vein recognition technology mainly includes three techniques: palm vein recognition, finger vein recognition, and hand vein recognition.
The principle of the vein recognition system is based on the fact that heme in the blood absorbs infrared light, a small camera with infrared sensitivity is photographed on the finger, the shadow of the blood vessel is photographed, and the blood vessel pattern is processed digitally to make a blood vessel. The pattern image is used to extract the feature value and then compare it with the vein feature value stored in the host computer to authenticate the individual and confirm the identity. The whole process is non-contact and easy to use. However, it is currently used less in our country. Iris recognition technology Iris recognition technology, as a new biometric identification technology, is currently used in high-end security. The uniqueness, stability, and unchangeable nature of the iris make it an essential feature for identification. It is also these characteristics, the future of security, defense, e-commerce and other fields of application will inevitably focus on iris recognition technology. Voice recognition technology Speech recognition technology applications include voice dialing, voice navigation, indoor device control, voice file retrieval, and simple dictation data entry.
The study of speech recognition in China started in the 50's, but it has developed rapidly in recent years, and the level of research has gradually moved from the laboratory to practical. Using the telephone and communication network, people can easily query and extract information related to the remote database system through voice commands. With the miniaturization of computers, the keyboard has become a major obstacle to the mobile platform. Speech recognition is gradually becoming the key technology of human-machine interface in information technology. The combination of speech recognition technology and speech synthesis technology enables people to shake off the keyboard and perform various operations through voice commands.
Since the development of speech recognition technology, especially the recognition accuracy of small and medium-sized vocabulary non-specific human speech recognition systems has exceeded 98%%, the recognition accuracy of specific people's speech recognition systems is even higher. Due to the development of large-scale integrated circuit technology, these complex voice recognition systems have also been completely made into dedicated chips for mass production. In the western economically developed countries, a large number of speech recognition products have entered the market and service areas. Some telephones and mobile phones already include voice recognition dialing functions, and voice notepads, voice smart toys and other products also include voice recognition and speech synthesis functions. People can use the speech recognition spoken dialogue system through the telephone network to inquire about the relevant ticket, travel, bank information, and get good results. Survey statistics show that as many as 85% or more people are satisfied with the performance of the information retrieval service system for speech recognition.
The trend of biometrics technology development To date, there is no single biometric that meets the requirements for the perfect application of biometrics. Each biometric has its own advantages and disadvantages and has its own scope of application. For example, some people's fingerprints cannot extract features, and people with cataracts have changes in the iris. In applications where strict safety is required, people often need to integrate multiple biometrics to achieve a high-precision identification system. The fusion of multiple biometric features is a more accurate and safe detection method. The biometric fusion method combines multiple physiological and behavioral features for identity authentication to improve the accuracy and reliability of the identification system. This is undoubtedly the future development of identity authentication. The inevitable trend.
ATM Face Recognition Makes Money Safer In recent years, there have been cases where money is being siphoned off by ATMs. Some criminals have designed traps to divert cash to the defrauders.
At the 2010 China International Finance Exhibition just held recently, an ATM (Automated Teller Machine) with a face recognition system met with the audience. This kind of cash machine with new functions is based on the existing ATM DVR video surveillance system, using face recognition technology, behavior analysis technology, monitoring and automatically determine the various illegal acts occurred on the ATM, make intelligent Processing.
This type of ATM can perform face analysis on the cash withdrawals on the one hand to prevent illegal acts such as masked disguise withdrawals, and on the other hand, it monitors the situation around the entire cash machine to prevent people from committing crimes. This system can not only identify the payer himself, but also the people around 1.5 meters away from the withdrawal will be collected by the camera. The image will also appear on the ATM screen, and the safety of withdrawals will be greatly improved.
Currently, companies have cooperated with ATM manufacturers to produce ATMs that can recognize faces, and have piloted them in some financial institutions. Perhaps in the near future, people will no longer worry about being defrauded or defrauded at the time of withdrawal.
“Brain fingerprinting†is no longer new for criminals to use fingerprints to help detect cases and punish criminals. Now, the “brain fingerprinting†analysis technology in the United States has become another new tool to explore the truth of the case.
One scenario can be conceived: A gangster robbed a shop with a gun and was arrested by the police. After arriving at the police station, the police put an instrument with electrodes on the suspect's head. At this point, on the computer screen in front of the suspect, the crime scene will be displayed: the owner's head, a robber standing in the shop and a pistol for committing the crime. Although the suspect is pretending to be calm and silent, it has no use. When the picture in the computer coincides with the crime scene stored in his memory, his brain responds with a weak signal, and the police can make judgments based on this. This is the general case of "brain fingerprinting".
"brain fingerprinting" by Lawrence, the founder of the neurologist Seatart Brain Recognition Lab Fawell invented, through the information on the memory of the criminal suspect's brain and the brain waves generated by him, can determine whether the suspect has a detailed understanding of the case and the scene, which helps to determine whether the suspect is guilty. At present, "brain fingerprinting" technology has been used in the United States to arrest suspects with an accuracy rate of 99%%. In order to effectively combat the greediness of white-collar workers, Indian police used "brain fingerprinting" techniques to detect white-collar crimes in the country. India subsequently became the second country to use the "brain fingerprinting" method after the United States. Now "brain fingerprinting" technology has attracted wide attention from countries in the world.
Biometrics have become the darling of the time. Biometrics for biometrics include hand shape, fingerprints, irises, infrared thermograms, and signatures, voices, and key presses. Based on these features, various biometric technologies such as hand shape recognition, fingerprint recognition, infrared temperature spectrum recognition, speech recognition, iris recognition, handwriting recognition, and the like have been developed. In recent years, biometrics technology has been rapidly developed and applied in the market. According to 2009 statistics from IBG (International Biometrics Group), the global biometrics technology reached US$3.422 billion in 2009 and reached US$4.356 billion in 2010.... It reached US$9.368 billion.
Biometrics technology has entered China in just 15 years, but it has been rapidly applied. It can be predicted that in the near future, biometric technology will be widely applied to all areas of public life and work in our country. In the next few years, biometric identification will also become the most important technological revolution in the information industry. The huge application demand will drive the rapid development of the biometric identification market, especially with the launch of a number of giant national projects, the entire global biometric identification. The scale of the industry will reach the market scale of tens of billions of dollars.
Wide variety of biometric technologies The so-called biometric technology is a combination of computer and optical, acoustic, biosensor and biometrics principles and other high-tech means, using the inherent physiological characteristics of the human body (such as fingerprints, face images, iris, etc.) and behavioral characteristics (such as handwriting, sound, gait, etc.) for personal identification. Fingerprint identification technology Fingerprint identification technology is currently one of the most widely used, low-cost and easy-to-use biometric authentication technologies recognized internationally. Since each person's fingerprint is unique, there is no fingerprint between the two. , And it is easy to get, so it is very practical.
The fingerprint technology was first applied in the public security criminal investigation field. It is also widely used in the armed police and military. At present, many grassroots police stations in China have installed scrolling fingerprint readers as effective technology tools for solving crimes.
In terms of the computer, fingerprint technology is currently applied to computer information security encryption, in place of the "user ID + password" method for user identity authentication and access control, using a fingerprint instead of a password to log in to the windows operating system. In addition, the direct use of fingerprint sensors has been applied to notebook computers, and many domestic large companies have integrated into the development and application of this technology. Fingerprint mobile phones, fingerprint U-disks, fingerprint POS machines, fingerprint ICs have a wide range of applications.
Fingerprint technology has also been fully applied in the field of financial banking, mainly focusing on bank internal control management. At present, the internal control teller fingerprint management systems of the five state-owned banks of the Industrial and Commercial Bank of China, the Agricultural Bank of China, the Bank of China, the Construction Bank and the Bank of Communications have all been put into use.
In recent years, many large-scale sports events have successfully applied fingerprint lock technology. Such as the Beijing Olympic Games, the 24th World University Winter Games and so on. At present, real estate manufacturers have also introduced fingerprint locks. A real estate can reach hundreds or even thousands of locks, and the number is very impressive. Face Recognition Technology The face recognition technology is based on the facial features of a person and analyzes the input face image or video stream. First, it judges whether or not there is a face, and if there is a face, the position of each face is further given. , size and location of each major facial organ. Based on this information, the identity features contained in each human face are further extracted and compared with known faces to identify the identity of each face.
The video surveillance face recognition system has features such as high recognition accuracy, stable system performance, stable light changes, stable attitude angle, stable time span, and support for remote network monitoring.
Face recognition technology has developed rapidly in recent years. Due to the ease of use, ordinary cameras can be used as sensors, mainly relying on face recognition software and algorithms for processing, so the promotion is relatively low cost, customers are more easily accepted, and the biggest advantage of face recognition relative to fingerprint recognition is non-contact More convenient and hygienic. From this perspective, face recognition is very promising. With the widespread use of face recognition technology in government projects and the application of face recognition in other large industries, the market share of face recognition is increasing rapidly. Face recognition is expected to maintain rapid growth in the next five years. Face recognition will become the next two major biometrics recognition technologies with fingerprint recognition. The current vein recognition technology mainly includes three techniques: palm vein recognition, finger vein recognition, and hand vein recognition.
The principle of the vein recognition system is based on the fact that heme in the blood absorbs infrared light, a small camera with infrared sensitivity is photographed on the finger, the shadow of the blood vessel is photographed, and the blood vessel pattern is processed digitally to make a blood vessel. The pattern image is used to extract the feature value and then compare it with the vein feature value stored in the host computer to authenticate the individual and confirm the identity. The whole process is non-contact and easy to use. However, it is currently used less in our country. Iris recognition technology Iris recognition technology, as a new biometric identification technology, is currently used in high-end security. The uniqueness, stability, and unchangeable nature of the iris make it an essential feature for identification. It is also these characteristics, the future of security, defense, e-commerce and other fields of application will inevitably focus on iris recognition technology. Voice recognition technology Speech recognition technology applications include voice dialing, voice navigation, indoor device control, voice file retrieval, and simple dictation data entry.
The study of speech recognition in China started in the 50's, but it has developed rapidly in recent years, and the level of research has gradually moved from the laboratory to practical. Using the telephone and communication network, people can easily query and extract information related to the remote database system through voice commands. With the miniaturization of computers, the keyboard has become a major obstacle to the mobile platform. Speech recognition is gradually becoming the key technology of human-machine interface in information technology. The combination of speech recognition technology and speech synthesis technology enables people to shake off the keyboard and perform various operations through voice commands.
Since the development of speech recognition technology, especially the recognition accuracy of small and medium-sized vocabulary non-specific human speech recognition systems has exceeded 98%%, the recognition accuracy of specific people's speech recognition systems is even higher. Due to the development of large-scale integrated circuit technology, these complex voice recognition systems have also been completely made into dedicated chips for mass production. In the western economically developed countries, a large number of speech recognition products have entered the market and service areas. Some telephones and mobile phones already include voice recognition dialing functions, and voice notepads, voice smart toys and other products also include voice recognition and speech synthesis functions. People can use the speech recognition spoken dialogue system through the telephone network to inquire about the relevant ticket, travel, bank information, and get good results. Survey statistics show that as many as 85% or more people are satisfied with the performance of the information retrieval service system for speech recognition.
The trend of biometrics technology development To date, there is no single biometric that meets the requirements for the perfect application of biometrics. Each biometric has its own advantages and disadvantages and has its own scope of application. For example, some people's fingerprints cannot extract features, and people with cataracts have changes in the iris. In applications where strict safety is required, people often need to integrate multiple biometrics to achieve a high-precision identification system. The fusion of multiple biometric features is a more accurate and safe detection method. The biometric fusion method combines multiple physiological and behavioral features for identity authentication to improve the accuracy and reliability of the identification system. This is undoubtedly the future development of identity authentication. The inevitable trend.