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Handwritten Character Recognition to Obtain Editable Text

机译:手写字符识别以获取可编辑文本

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Developing an android application for character recognition to read the text from an image is a big area of research. Nowadays, there is a trend of storing information from the handwritten documents for future use. A simple way to store the information is image capturing of the handwritten document and save it in image format. The method to transform handwritten data into electronic format is 'Optical Character Recognition'. It involves several steps including pre-processing, segmentation, feature extraction and post-processing. Many researchers have been used OCR for recognizing character. This system uses the android phone to capture the image of the document and further steps are done by OCR. The main challenge is to recognize the characters from different styles of handwriting. Thus, a system is designed that recognizes the handwritten data to obtain an editable text. The output of this system depends upon the data that has to be written by the writer. Our system offers 90% accuracy for handwritten documents and gives the easiest way to edit or share the recognized data.
机译:开发用于字符识别的Android应用程序以从图像中读取文本是一个很大的研究领域。如今,存在存储来自手写文档的信息以供将来使用的趋势。存储信息的一种简单方法是捕获手写文档的图像并将其保存为图像格式。将手写数据转换为电子格式的方法是“光学字符识别”。它涉及几个步骤,包括预处理,分割,特征提取和后处理。许多研究人员已使用OCR来识别字符。该系统使用android手机捕获文档图像,OCR则完成了进一步的步骤。主要的挑战是识别来自不同笔迹样式的字符。因此,设计了一种识别手写数据以获得可编辑文本的系统。该系统的输出取决于编写者必须写入的数据。我们的系统可为手写文档提供90%的准确性,并提供最简单的方法来编辑或共享识别的数据。

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