Man-machine recognition refers to the process of automatic recognition and conversion of fonts, handwritten or printed characters by computer technology. Man-machine character recognition technology is one of the core fields of information processing research, and its application is widely involved in digital library, OCR character recognition, natural language processing and many other aspects. Using computer vision, pattern recognition and machine learning to recognize fonts, a large number of handwritten samples and printed samples can be automatically recognized, thus greatly improving the efficiency of information processing.

The origin of man-machine character recognition technology can be traced back to 1950s, when scientists completed the automatic recognition of handwritten characters by developing optical character recognition instruments. Since then, the technology of human-computer character recognition has gradually developed, new algorithms and models have appeared constantly, and the research field has gradually expanded. With the rapid development of mobile Internet, OCR character recognition and human-computer interaction become more and more important, and are widely used in medical, financial, judicial and other fields, bringing people more efficient and intelligent information processing services.

In the future, man-machine character recognition technology will develop in a more advanced and intelligent direction. OCR text recognition based on big data and deep learning technology will become more and more mature, and related technologies such as natural language processing will become more and more mature. Driven by artificial intelligence, the mode of human-computer interaction has gradually evolved, and technologies such as speech recognition and facial recognition will be combined with OCR character recognition to form a complete information processing system, providing people with more convenient and intelligent information services.