Pattern recognition technology is the basic technology of artificial intelligence. The 21st century is a century of intelligence, information, computing, and networking. In this world characterized by digital computing, as a pattern recognition technology of the basic discipline of artificial intelligence technology, it must There will be great room for development.
In the international arena, major authoritative research institutions and major companies have begun to pay attention to pattern recognition technology as the company’s strategic R&D focus.
Since the development of pattern recognition from the 1920s to the present, people have a general view that there is no single model applicable to all pattern recognition problems and a single technology to solve the identification problem. What we have now is only a tool bag. What we have to do is to Combine specific problems with statistical and syntactic recognition, combine statistical pattern recognition or syntactic pattern recognition with heuristic search in artificial intelligence, and combine statistical pattern recognition or syntactic pattern recognition with machine learning with support vector machines. Combining the artificial neural network with various existing technologies and expert systems in artificial intelligence and uncertain reasoning methods, deeply grasping the effectiveness and possible possibilities of various tools, and complementing each other to create a new situation in pattern recognition applications. .
1 Speech Recognition Technology
Speech recognition technology is gradually becoming the key technology of man-machine interface in information technology. The application of voice technology has become a competitive emerging high-tech industry. The market forecast of the China Internet Center: In the next five years, the Chinese voice technology field will have a market capacity of more than RMB 40 billion and then grow at a rate of more than 30 per year.
2 biometric authentication technology
Biometric authentication technology The most popular security authentication technology in this century, its development is the trend of the times. People are willing to forget all their passwords, throw away all their magnetic cards, and use their uniqueness to identify their identity and confidentiality. International Data Group (IDC) predicts that the biometric technology that is the basic core technology of mobile e-commerce as an inevitable development direction in the future will reach a market size of US$10 billion in the next 10 years.
3 voiceprint recognition
In recent years, in the field of biometrics technology, voiceprint recognition technology has attracted worldwide attention for its unique convenience, economy, and accuracy, and has increasingly become an important and popular security verification method in people's daily life and work. In addition, the speech recognition method based on genetic algorithm for training continuous hidden Markov models has become the mainstream technology of speech recognition. This method has faster recognition speed and higher recognition rate in speech recognition.
4 Fingerprinting
The lines on the inner surface of our palms and their fingers, feet and toes create a variety of patterns. The lines of these skins are unique in patterns, breakpoints, and intersections. By relying on this uniqueness, one can associate a person with his fingerprint and compare his fingerprint with a pre-saved fingerprint to verify his true identity. General fingerprints are divided into: leftloop, rightloop, twinloop, whorl, arch, and tentedarch several large categories; this way, you can classify each person's fingerprints separately for retrieval. Fingerprinting can basically be divided into several major steps: preprocessing, feature selection and pattern classification.
5 digital watermarking technology
The digital watermarking technology that began to develop internationally since the 1990s is the digital media copyright protection technology with the most potential and advantages. IDC predicts that digital watermarking technology will have a global market capacity of more than $8 billion over the next five years.
Paper Bag Machine
This machine is designed to manufacture square bottom paper bags without handles from paper roll, and it is an ideal equipment for producing small-size paper bags fast. By implementing steps including paper feeding, tube forming, tube cutting and bottom forming inline, this machine can effectively save labor costs. The equipped photoelectric detector can correct cutting length, so as to ensure cutting precision. The equipped SIEMENS PLC system ensures that the machine can perform quickly and stably. This machine can process very thin paper, as well as produce paper bags very fast, thus this machine is especially suitable for being applied in food industries