Research on Text Recognition Methods Based on Artificial Intelligence and Machine Learning
Abstract
of text recognition. The article analyzes the integrated applications of deep learning, convolutional neural networks, and recurrent neural
networks, while addressing ethical issues such as algorithmic bias and privacy protection. The research findings indicate that current technologies have limitations in multilingual processing and ancient script recognition, facing accuracy challenges in applications such as educational
grading, legal document processing, and medical record recognition. By comparing science fiction literary imagination with actual development, the study points out that future development may move toward brain-computer interfaces and quantum computing, requiring a balance
between technological progress and humanistic care. The research demonstrates that the development of text recognition technology is not
merely a technical issue, but involves deeper topics of social responsibility, cultural heritage, and human-machine collaboration.
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DOI: http://dx.doi.org/10.70711/aitr.v3i3.8044
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