一种基于深度学习的图像文本识别与分类新系统

Syed Ishfaq Manzoor, Jimmy Singla
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引用次数: 2

摘要

目前,基于人工神经网络的人工智能算法模式识别是计算机行业最广泛、最发达的研究领域之一。本研究在自然文本识别的基础上,提出了一种基于人工神经网络的手写文本信息统计识别方法。该系统已被编程为能够从扫描仪、数码相机、Pad或文件中获取信息,这使其具有针对潜在用户的灵活性。这项工作介绍了一个计算机系统的发展,该系统允许基于图像处理技术、人工智能、人工神经网络和自然和手写文本识别系统的模式识别来识别手写文本。在该系统中,手写文本的识别精度达到0.81或更高
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A Novel System for Image Text Recognition and Classification using Deep Learning
Nowadays, the recognition of patterns by artificial intelligence algorithms based on artificial neural networks is one of the broadest and most developed areas of study in the computer industry. With this study, a solution is proposed to the problem of recognizing handwritten textual information for statistical purposes based on the recognition of natural text by means of artificial neural networks. The system has been programmed to be able to acquire information from a scanner, digital camera, Pad or from a file, which gives it flexibility with potential users. This work presents the development of a computer system that allows the recognition of handwritten text based on image processing techniques, artificial intelligence, artificial neural networks, and pattern recognition for natural and handwritten text recognition systems. In the proposed system the handwritten text is recognized with precision of 0.81 or higher
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