What is the artificial intelligence technology that allows computers to identify the corresponding numbers from a large number of handwritten digital images?

This is the image recognition technology of artificial intelligence.

The traditional image recognition process is divided into four steps: image acquisition → image preprocessing → feature extraction → image recognition. Cognex is the representative of image recognition software abroad, while Tuzhi and Poseidon technology are the representatives at home. In addition, it also refers to the technology of classifying remote sensing images in geography.

The following is an introduction to the related fields of image recognition technology:

Image recognition is an important field of artificial intelligence. In order to write a computer program to simulate human image recognition activities, people put forward different image recognition models. Such as a template matching model. This model holds that to recognize an image, there must be a memory pattern of the image in the past experience, which is the so-called template. If the current stimulus can match the template in the brain, the image will be recognized.

For example, there is a letter A. If there is an A template in the brain and the size, direction and shape of the letter A are completely consistent with this A template, the letter A will be recognized. The model is simple and clear, and easy to be applied in practice. But this model emphasizes that the image must be completely consistent with the template in the brain before it can be recognized. In fact, people can not only identify images that are completely consistent with the template in the brain, but also identify images that are not completely consistent with the template.

For example, people can recognize not only the specific letter A, but also printed letters, handwritten letters, letters with incorrect directions and different sizes. At the same time, there are a large number of images that people can recognize. If each recognized image has a corresponding template in mind, it is impossible.

In order to solve the problem of template matching model, Gestalt psychologists put forward prototype matching model. This model holds that what is stored in long-term memory is not countless templates to be recognized, but some "similarities" of images. The "similarity" abstracted from the image can be used as a prototype to test the image to be recognized. If a similar prototype can be found, the image will be recognized.

Refer to Baidu Encyclopedia-Image Recognition for the above information.