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Web of Proceedings - Francis Academic Press

An Overview of Image Recognition Based on Deep Learning

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DOI: 10.25236/icmmct.2022.031


Chen Changhui

Corresponding Author

Chen Changhui


Accurate image recognition is of great importance in academia. Image recognition technology plays an important role in many aspects such as medicine, aerospace, military, industry and agriculture. It is also an important branch of artificial intelligence research and one of the most widely used artificial intelligence technologies in the current world. Deep learning has made a breakthrough in applications such as image recognition and speech recognition, and has also shown unique advantages in the fields of face recognition and information retrieval. For instance, the X-ray images of bones show the changes of different levels of black, white and gray, and have the image characteristics of black-and-white contrast and level difference. Due to these advantages of deep learning in the image-recognition field, we organically combine it with bone age assessment research, aiming at providing basic data of the construction of forensic automatic bone age assessment system. In recent years, the application of deep-learning based image recognition has become a research hotspot in the field of image recognition, which has achieved good results and has broad research space.


Deep learning, image recognition, network structure, development and application